Exemplo n.º 1
0
def problem(distancemat, agentcount, verbose=True):
    agents = [i for i in range(agentcount)]
    trashcount = len(distancemat) - agentcount
    trash_cans = [i + agentcount for i in range(trashcount)]
    agentDict = dict([(i,0) for i in agents])
    domain = Domain((
        Action(
            "Check",
            # Send agent A1 from T1 to pick up trash at T2
            parameters=(
                ("agent", "A1"),
                ("trash_can", "T1"),
                ("trash_can", "T2"),
            ),
            preconditions=(
                ("at", "A1", "T1"),
                ("unchecked", "T2"),
            ),
            effects=(
                # A1 is no longer at T1
                neg(("at", "A1", "T1")),
                # A1 is now at T2
                ("at", "A1", "T2"),
                # T2 is checked.
                ("checked", "T2"),
                neg(("unchecked", "T2")),
            )
        ),
    ))
    problem = Problem(
        domain,
        {
            # List of all agents
            "agent":  agents,
            # list of trash cans. Note: Starting positions are
            # treated as trash cans.
            "trash_can":  [i for i in range(len(distancemat))],
        },
        init=[("at", i, i) for i in agents] + \
                [("unchecked", i) for i in trash_cans],
        goal=[("checked", i) for i in trash_cans]
    )
    # Heuristics based on the agent that has travelled the farthest
    def heuristic(state):
        # copy prepared table
        agent2cost = agentDict.copy()
        # calculate cost
        for a in [action.sig for action in state.plan()]:
            agent2cost[a[1]] += distancemat[a[2]][a[3]]
        cost = max(agent2cost.values())
        #heur = ?
        return cost

    return planner(problem,
                   heuristic=heuristic,
                   verbose=verbose)
def define_domain(city):
    a1 = Action('switch-priority',
                parameters=(('suburb', 'S1'), ('suburb', 'S2')),
                preconditions=(('prioritised', 'S1'), ),
                effects=(neg(('prioritised', 'S1')), ('prioritised', 'S2'),
                         ('-=', ('total-cars', 'S2'),
                          city.get_cars_out_from_action)),
                external_actor=city,
                unique=True)

    a2 = Action('extend-priority',
                parameters=(('suburb', 'S'), ),
                preconditions=(('prioritised', 'S'), ),
                effects=(('-=', ('total-cars', 'S'),
                          city.get_cars_out_from_action), ),
                external_actor=city)

    return Domain((a1, a2))
Exemplo n.º 3
0
def problem(verbose):
    domain = Domain((

        #ready-for-battle & defencable -> enemy is defenced
        Action(
            'enemy-defenced',
            parameters=(
                ('state', '_state'),
                ('state', '_prev_state'),
            ),
            preconditions=(
                ('defencable', '_state'),
                ('ready-for-battle', ''),
                ('character_state', '_state'),
                ('character_prev_state', '_prev_state'),
            ),
            effects=(
                neg(('character_prev_state', '_prev_state')),
                neg(('character_state', '_state')),
                ('character_prev_state', '_state'),
                ('character_state', 'defenced'),
                ('use-defence', ''),
            ),
        ),

        #ready-for-battle & exhaustable -> enemy is exhausted
        Action(
            'enemy-exhausted',
            parameters=(
                ('state', '_state'),
                ('state', '_prev_state'),
            ),
            preconditions=(
                ('exhaustable', '_state'),
                ('ready-for-battle', ''),
                ('character_state', '_state'),
                ('character_prev_state', '_prev_state'),
            ),
            effects=(
                neg(('character_prev_state', '_prev_state')),
                neg(('character_state', '_state')),
                ('character_state', 'exhausted'),
                ('character_prev_state', '_state'),
            ),
        ),

        #ready-for-battle & ignitable -> enemy is ignited
        Action(
            'enemy-ignited',
            parameters=(
                ('state', '_state'),
                ('state', '_prev_state'),
            ),
            preconditions=(
                ('ignitable', '_state'),
                ('ready-for-battle', ''),
                ('character_state', '_state'),
                ('character_prev_state', '_prev_state'),
            ),
            effects=(
                neg(('character_prev_state', '_prev_state')),
                neg(('character_state', '_state')),
                ('character_prev_state', '_state'),
                ('character_state', 'ignited'),
                ('use-ignite', ''),
            ),
        ),

        # ready-for-battle & electric ready & electric shockable -> enemy is electric shocked
        Action(
            'electric-shock',
            parameters=(
                ('state', '_state'),
                ('state', '_prev_state'),
            ),
            preconditions=(
                ('electric-shockable', '_state', '_prev_state'),
                ('electric-ready', ''),
                ('ready-for-battle', ''),
                ('character_state', '_state'),
                ('character_prev_state', '_prev_state'),
            ),
            effects=(
                neg(('character_prev_state', '_prev_state')),
                neg(('character_state', '_state')),
                ('character_prev_state', '_state'),
                ('character_state', 'electric-shocked'),
            ),
        ),

        # ready-for-battle & electric preparable -> electric is prepared
        Action(
            'electric-ready-perfectly',
            parameters=(
                ('state', '_state'),
                ('state', '_prev_state'),
            ),
            preconditions=(
                ('electric-preparable', '_state'),
                ('ready-for-battle', ''),
                ('character_state', '_state'),
                ('character_prev_state', '_prev_state'),
            ),
            effects=(('electric-ready', ''), ),
        ),

        # idle -> ready for battle
        Action(
            'ready-for-battle',
            parameters=(
                ('state', '_state'),
                ('state', '_prev_state'),
            ),
            preconditions=(
                ('character_state', 'idle'),
                ('character_state', '_state'),
                ('character_prev_state', '_prev_state'),
            ),
            effects=(('ready-for-battle', ''), ),
        ),
    ))
    problem = Problem(
        domain,
        {
            'state': ('electric-shocked', 'idle', 'defenced', 'ignited',
                      'exhausted', 'NONE'),
        },
        init=(
            ('electric-shockable', 'exhausted', 'defenced'
             ),  #defenced -> exghausted -> now it can use electric shock
            ('electric-shockable', 'exhausted', 'ignited'
             ),  #ignited -> exghausted -> now it can use electric shock
            ('electric-preparable',
             'ignited'),  #prepare electric when enemy was ignited
            ('electric-preparable',
             'defenced'),  #prepare electric when enemy was exhausted
            ('defencable', 'idle'),
            ('ignitable', 'idle'),
            ('exhaustable', 'ignited'),
            ('exhaustable', 'defenced'),
            ('character_state', 'idle'),
            ('character_prev_state', 'NONE'),
        ),
        goal=(
            ('character_state', 'electric-shocked'),

            # case 1 use ignite
            ('use-ignite', ''),

            # 1. ready for battle
            # 2. ignite to enemy
            # 3. ready electric
            # 4. enemy was exhausted
            # 5. electric shock to enemy

            ################
            # case 2 use defence
            # ('use-defence',''),

            # 1. ready for battle
            # 2. enemy was defenced
            # 3. ready electric
            # 4. enemy was exhausted
            # 5. electric shock to enemy
        ))

    plan = planner(problem, verbose=verbose)
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            print(action)
def problem(verbose):
    domain = Domain((
        Action(
            'cross-right',
            preconditions=(
                ('at', 'left-bank'),
                ('>', ('occupants', ), 0),
            ),
            effects=(
                neg(('at', 'left-bank')),
                ('at', 'right-bank'),
            ),
        ),
        Action(
            'cross-left',
            preconditions=(
                ('at', 'right-bank'),
                ('>', ('occupants', ), 0),
            ),
            effects=(
                neg(('at', 'right-bank')),
                ('at', 'left-bank'),
            ),
        ),
        Action(
            'onboard-cannibal',
            parameters=(('location', 'l'), ),
            preconditions=(
                ('at', 'l'),
                ('>', ('cannibals', 'l'), 0),
                ('<', ('occupants', ), 2),
            ),
            effects=(
                ('-=', ('cannibals', 'l'), 1),
                ('+=', ('cannibals', 'boat'), 1),
                ('+=', ('occupants', ), 1),
            ),
        ),
        Action(
            'onboard-missionary',
            parameters=(('location', 'l'), ),
            preconditions=(
                ('at', 'l'),
                ('>', ('missionaries', 'l'), 0),
                ('>', ('missionaries', 'l'), ('cannibals', 'l')),
                ('<', ('occupants', ), 2),
            ),
            effects=(
                ('-=', ('missionaries', 'l'), 1),
                ('+=', ('missionaries', 'boat'), 1),
                ('+=', ('occupants', ), 1),
            ),
        ),
        Action(
            'offboard-cannibal',
            parameters=(('location', 'l'), ),
            preconditions=(
                ('at', 'l'),
                ('>', ('cannibals', 'boat'), 0),
                ('>', ('missionaries', 'l'), ('cannibals', 'l')),
            ),
            effects=(
                ('-=', ('cannibals', 'boat'), 1),
                ('-=', ('occupants', ), 1),
                ('+=', ('cannibals', 'l'), 1),
            ),
        ),
        Action(
            'offboard-missionary',
            parameters=(('location', 'l'), ),
            preconditions=(
                ('at', 'l'),
                ('>', ('missionaries', 'boat'), 0),
            ),
            effects=(
                ('-=', ('missionaries', 'boat'), 1),
                ('-=', ('occupants', ), 1),
                ('+=', ('missionaries', 'l'), 1),
            ),
        ),
    ))
    problem = Problem(domain, {
        'location': ('left-bank', 'right-bank'),
    },
                      init=(
                          ('at', 'left-bank'),
                          ('=', ('missionaries', 'boat'), 0),
                          ('=', ('cannibals', 'boat'), 0),
                          ('=', ('occupants', ), 0),
                          ('=', ('missionaries', 'left-bank'), 3),
                          ('=', ('cannibals', 'left-bank'), 3),
                          ('=', ('missionaries', 'right-bank'), 0),
                          ('=', ('cannibals', 'right-bank'), 0),
                      ),
                      goal=(
                          ('=', ('missionaries', 'right-bank'), 3),
                          ('=', ('cannibals', 'right-bank'), 3),
                      ))

    plan = planner(problem, verbose=verbose)
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            print(action)
Exemplo n.º 5
0
    parameters=(
        ('object_name', 'obj_c'),
        ('gripper_name', 'gripper'),
        ('object_position', 'o_x'),
        ('object_position', 'o_y'),
        ('object_position', 'o_z'),
        ('gripper_position', 'g_x'),
        ('gripper_position', 'g_y'),
        ('gripper_position', 'g_z'),
    ),
    preconditions=(
        ('at', 'obj_c', 'o_x', 'o_y', 'o_z'),
        ('at', 'gripper', 'g_x', 'g_y', 'g_z'),
    ),
    effects=(
        neg(('at', 'gripper', 'g_x', 'g_y', 'g_z')),
        ('at', 'gripper', 'o_x', 'o_y', 'o_z'),
    ),
)

pushButton = Action(
    'push_button',
    parameters=(
        ('button_name', 'button_1'),
        ('gripper_name', 'gripper'),
        ('button_position', 'b_x'),
        ('button_position', 'b_y'),
        ('button_position', 'b_z'),
        ('gripper_position', 'g_x'),
        ('gripper_position', 'g_y'),
        ('gripper_position', 'g_z'),
Exemplo n.º 6
0
def problem(verbose):
    domain = Domain((
        Action(
            'move',
            parameters=(
                ('position', 'wp_prec'),
                ('position', 'wp_effe'),
            ),
            preconditions=(
                ('connect', 'wp_prec', 'wp_effe'),
                ('base', 'wp_prec'),
                ('arm', 'unreach'),
            ),
            effects=(
                neg(('base', 'wp_prec')),
                ('base', 'wp_effe'),
            ),
        ),
        Action(
            'reach',
            parameters=(
                ('position', 'wp'),
                ('location', 'loc'),
            ),
            preconditions=(
                ('reachable', 'wp', 'loc'),
                ('base', 'wp'),
                ('arm', 'unreach'),
            ),
            effects=(
                neg(('arm', 'unreach')),
                ('arm', 'reach'),
            ),
        ),
        Action(
            'grip',
            parameters=(
                ('position', 'wp'),
                ('object', 'obj'),
                ('location', 'loc'),
            ),
            preconditions=(
                ('locate', 'obj', 'loc'),
                ('ungripped', 'obj'),
                ('reachable', 'wp', 'loc'),
                ('base', 'wp'),
                ('arm', 'reach'),
            ),
            effects=(
                neg(('ungripped', 'obj')),
                ('gripped', 'obj'),
            ),
        ),
        Action(
            'unreach',
            parameters=(),
            preconditions=(('arm', 'reach'), ),
            effects=(
                ('arm', 'unreach'),
                neg(('arm', 'reach')),
            ),
        ),
        Action(
            'reach-when-gripping',
            parameters=(
                ('position', 'wp'),
                ('location', 'loc'),
                ('object', 'obj'),
            ),
            preconditions=(
                ('reachable', 'wp', 'loc'),
                ('base', 'wp'),
                ('gripped', 'obj'),
                ('arm', 'unreach'),
            ),
            effects=(
                neg(('arm', 'unreach')),
                ('arm', 'reach'),
                ('locate', 'obj', 'loc'),
            ),
        ),
        Action(
            'ungrip',
            parameters=(('object', 'obj'), ),
            preconditions=(('gripped', 'obj'), ),
            effects=(
                neg(('gripped', 'obj')),
                ('ungripped', 'obj'),
            ),
        ),
    ))
    problem = Problem(
        domain,
        {
            'position': ('wp1', 'wp2', 'wp3', 'wp4'),
            'location': ('loc1', 'loc2', 'loc3'),
            'object': ('obj1', 'obj2'),
        },
        init=(
            ('connect', 'wp4', 'wp3'),
            ('connect', 'wp3', 'wp2'),
            ('connect', 'wp2', 'wp1'),
            ('connect', 'wp1', 'wp3'),
            ('reachable', 'wp1', 'loc1'),
            ('reachable', 'wp3', 'loc3'),
            ('base', 'wp4'),
            ('locate', 'obj1', 'loc1'),
            ('ungripped', 'obj1'),
            ('arm', 'unreach'),
            #('locate','obj2','loc2'),
            #('ungripped','obj2'),
        ),
        goal=(
            #('base','wp1'),
            #('gripped','obj1'),
            ('locate', 'obj1', 'loc3'),
            ('ungripped', 'obj1'),
        ))

    plan = planner(problem, verbose=verbose)
    #action_string = []

    rank = 1
    rank_return = rank
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            str_arr = StringArray()
            i = 1
            str_arr.strings.append(str(rank))
            for arg in action.sig:
                str_arr.strings.append(str(arg))

            print(str_arr)

            flag = 'unfinish'
            while (flag != 'finish' or rank_return != rank):  #finish and rank
                pub.publish(str_arr)
                #print(str_arr,i)
                i = i + 1
                #print(listening.action_state.strings,str_arr)

                if listening.action_state.strings:  #empty check
                    flag = listening.action_state.strings[1]
                    rank_return = int(listening.action_state.strings[0])
                    #while listening.action_state.strings[1] == 'finish':{} #may get previous 'finish', wait for a new unfinish
                if rospy.is_shutdown():
                    return 0

                #r.sleep()
            print('finish', i)
            rank = rank + 1
    return 0
Exemplo n.º 7
0
def find_a_path(hand_start_node_id,
                object_start_node_id,
                graph,
                goal_node_labels,
                verbose=False):
    locations = ['l' + str(i) for i in range(len(graph.nodes))]

    connections = [('connected', 'l' + str(e.node_id_start),
                    'l' + str(e.node_id_end)) for e in graph.edges]
    grasping_locations = [('is_grasping_location', 'l' + str(i))
                          for i, n in enumerate(graph.nodes)
                          if n.label in goal_node_labels or n.label + '_' +
                          str(i) in goal_node_labels]

    # define possible actions
    domain = pyddl.Domain((
        pyddl.Action(
            'move_hand',
            parameters=(
                ('location', 'from'),
                ('location', 'to'),
            ),
            preconditions=(
                ('hand_at', 'from'),
                ('connected', 'from', 'to'),
            ),
            effects=(
                pyddl.neg(('hand_at', 'from')),
                ('hand_at', 'to'),
            ),
        ),
        pyddl.Action(
            'move_object',
            parameters=(
                ('location', 'from'),
                ('location', 'to'),
            ),
            preconditions=(
                ('hand_at', 'from'),
                ('object_at', 'from'),
                ('connected', 'from', 'to'),
            ),
            effects=(
                pyddl.neg(('hand_at', 'from')),
                pyddl.neg(('object_at', 'from')),
                ('hand_at', 'to'),
                ('object_at', 'to'),
            ),
        ),
        pyddl.Action(
            'grasp_object',
            parameters=(('location', 'l'), ),
            preconditions=(('hand_at', 'l'), ('object_at', 'l'),
                           ('is_grasping_location', 'l')),
            effects=(('grasped', 'object'), ),
        ),
    ))

    # each node in the graph is a location
    problem = pyddl.Problem(domain, {
        'location': locations,
    },
                            init=[
                                ('hand_at', 'l' + str(hand_start_node_id)),
                                ('object_at', 'l' + str(object_start_node_id)),
                            ] + connections + grasping_locations,
                            goal=(('grasped', 'object'), ))

    plan = pyddl.planner(problem, verbose=verbose)
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            print(action)

    return plan
# logic states predicates
focus = "focus"  # set focus on a block block
in_hand = "in_hand"  # a block is in hand (block, gripper)
block_free = "block_free"  # condition a block is graspable
hand_empty = "hand_empty"  # condition a hand is free
b_on_b = "block_on_block"  # condition block is on block

actions = [
    Action("Grab_Block",
           parameters=(
               (type_gripper, "g"),
               (type_block, "b"),
           ),
           preconditions=((hand_empty, "g"), (block_free, "b")),
           effects=(
               neg((hand_empty, "g")),
               (in_hand, "b", "g"),
           ),
           unique=True),
    Action("Place_Block",
           parameters=((type_gripper, "g"), (type_block, "b"), (type_block,
                                                                "b_placed")),
           preconditions=((in_hand, "b", "g"), (block_free, "b_placed")),
           effects=(
               (b_on_b, "b", "b_placed"),
               neg((block_free, "b_placed")),
               neg((in_hand, "b", "g")),
               (hand_empty, "g"),
           ),
           unique=True)
]
def problem(verbose):
    domain = Domain(
        (
            Action(
                "cross-right",
                preconditions=(("at", "left-bank"), (">", ("occupants",), 0)),
                effects=(neg(("at", "left-bank")), ("at", "right-bank")),
            ),
            Action(
                "cross-left",
                preconditions=(("at", "right-bank"), (">", ("occupants",), 0)),
                effects=(neg(("at", "right-bank")), ("at", "left-bank")),
            ),
            Action(
                "onboard-cannibal",
                parameters=(("location", "l"),),
                preconditions=(("at", "l"), (">", ("cannibals", "l"), 0), ("<", ("occupants",), 2)),
                effects=(("-=", ("cannibals", "l"), 1), ("+=", ("cannibals", "boat"), 1), ("+=", ("occupants",), 1)),
            ),
            Action(
                "onboard-missionary",
                parameters=(("location", "l"),),
                preconditions=(
                    ("at", "l"),
                    (">", ("missionaries", "l"), 0),
                    (">", ("missionaries", "l"), ("cannibals", "l")),
                    ("<", ("occupants",), 2),
                ),
                effects=(
                    ("-=", ("missionaries", "l"), 1),
                    ("+=", ("missionaries", "boat"), 1),
                    ("+=", ("occupants",), 1),
                ),
            ),
            Action(
                "offboard-cannibal",
                parameters=(("location", "l"),),
                preconditions=(
                    ("at", "l"),
                    (">", ("cannibals", "boat"), 0),
                    (">", ("missionaries", "l"), ("cannibals", "l")),
                ),
                effects=(("-=", ("cannibals", "boat"), 1), ("-=", ("occupants",), 1), ("+=", ("cannibals", "l"), 1)),
            ),
            Action(
                "offboard-missionary",
                parameters=(("location", "l"),),
                preconditions=(("at", "l"), (">", ("missionaries", "boat"), 0)),
                effects=(
                    ("-=", ("missionaries", "boat"), 1),
                    ("-=", ("occupants",), 1),
                    ("+=", ("missionaries", "l"), 1),
                ),
            ),
        )
    )
    problem = Problem(
        domain,
        {"location": ("left-bank", "right-bank")},
        init=(
            ("at", "left-bank"),
            ("=", ("missionaries", "boat"), 0),
            ("=", ("cannibals", "boat"), 0),
            ("=", ("occupants",), 0),
            ("=", ("missionaries", "left-bank"), 3),
            ("=", ("cannibals", "left-bank"), 3),
            ("=", ("missionaries", "right-bank"), 0),
            ("=", ("cannibals", "right-bank"), 0),
        ),
        goal=(("=", ("missionaries", "right-bank"), 3), ("=", ("cannibals", "right-bank"), 3)),
    )

    plan = planner(problem, verbose=verbose)
    if plan is None:
        print("No Plan!")
    else:
        for action in plan:
            print(action)
def problem(verbose):
    domain = Domain((
        # 일반 공격 : me와 enemy 모두 가능한 액션, 현재 턴(now_turn)인 공격자가 상대방(prev_turn)의 hp를 20 깎음
        Action(
            'normal-attack',
            parameters=(
                ('turn', 't'),
                ('turn', 'prev_t'),
            ),
            preconditions=(
                ('now_turn', 't'),
                ('prev_turn', 'prev_t'),
            ),
            effects=(
                neg(('now_turn', 't')),
                neg(('prev_turn', 'prev_t')),
                ('now_turn', 'prev_t'),
                ('prev_turn', 't'),
                ('+=', ('hp', 'prev_t'), -20),
                ('-=', ('damaged', 'prev_t'), ('damaged', 'prev_t')),
                ('+=', ('damaged', 'prev_t'), -20),
            ),
        ),
        # 마법 공격 : me와 enemy 모두 가능한 액션, 현재 턴(now_turn)인 공격자가 상대방(prev_turn)의 hp를 35 깎고, mp를 40 소모
        # mp가 40 이상일 때만 사용 가능
        Action(
            'magic-attack',
            parameters=(
                ('turn', 't'),
                ('turn', 'prev_t'),
            ),
            preconditions=(
                ('now_turn', 't'),
                ('prev_turn', 'prev_t'),
                ('>=', ('mp', 't'), 40),
            ),
            effects=(
                neg(('now_turn', 't')),
                neg(('prev_turn', 'prev_t')),
                ('now_turn', 'prev_t'),
                ('prev_turn', 't'),
                ('+=', ('hp', 'prev_t'), -35),
                ('+=', ('mp', 't'), -40),
                ('-=', ('damaged', 'prev_t'), ('damaged', 'prev_t')),
                ('+=', ('damaged', 'prev_t'), -35),
            ),
        ),
        # hp 회복 : me 만 사용 가능한 스킬, me의 mp를 60 소모하여, hp를 55 회복 함
        # mp가 60 이상일 때만 사용 가능, 현재 hp가 0 보다 클 때만 사용 가능(부활 불가)
        Action(
            'heal-me',
            preconditions=(
                ('now_turn', 'me'),
                ('prev_turn', 'enemy'),
                ('>', ('hp', 'me'), 0),
                ('>=', ('mp', 'me'), 60),
            ),
            effects=(
                neg(('now_turn', 'me')),
                neg(('prev_turn', 'enemy')),
                ('now_turn', 'enemy'),
                ('prev_turn', 'me'),
                ('+=', ('hp', 'me'), 55),
                ('+=', ('mp', 'me'), -60),
            ),
        ),
        # mp 회복 : me 만 사용 가능한 스킬, me의 mp를 40 회복 함
        Action(
            'charge-my-magicka',
            preconditions=(
                ('now_turn', 'me'),
                ('prev_turn', 'enemy'),
            ),
            effects=(
                neg(('now_turn', 'me')),
                neg(('prev_turn', 'enemy')),
                ('now_turn', 'enemy'),
                ('prev_turn', 'me'),
                ('+=', ('mp', 'me'), 40),
            ),
        ),
        # 반격 : me 만 사용 가능한 스킬, me의 mp를 60 소모하여, 바로 직전 턴에 enemy 에게 받은 데미지 만큼 hp를 회복함
        # mp가 60 이상일 때만 사용 가능, 직전 턴에 받은 데미지를 회복한 hp가 0 보다 커야만 사용 가능
        Action(
            'reflect-enemy-attack',
            preconditions=(
                ('now_turn', 'me'),
                ('prev_turn', 'enemy'),
                ('>', ('hp', 'me'), ('damaged', 'me')),
                ('>=', ('mp', 'me'), 60),
            ),
            effects=(
                neg(('now_turn', 'me')),
                neg(('prev_turn', 'enemy')),
                ('now_turn', 'enemy'),
                ('prev_turn', 'me'),
                ('-=', ('hp', 'me'), ('damaged', 'me')),
                ('+=', ('hp', 'enemy'), ('damaged', 'me')),
                ('+=', ('mp', 'me'), -60),
                ('-=', ('damaged', 'me'), ('damaged', 'me')),
            ),
        ),
    ))
    problem = Problem(
        domain,
        {
            'turn': ('me', 'enemy'),  # 가능한 turn Domain
        },
        # hp:100, mp:80 인 enemy와 hp:50, mp:100인 me 중 enemy의 선공으로 게임을 시작하는 초기 state
        init=(
            ('now_turn', 'enemy'),  # enemy 선공
            ('prev_turn', 'me'),  # prev_turn 이지만 init 단계이므로 다음 턴 공격자인 me
            ('=', ('hp', 'me'), 50),  # me의 시작 hp
            ('=', ('mp', 'me'), 100),  # me의 시작 mp
            ('=', ('damaged', 'me'), 0),  # me가 입은 데미지 초기 값, reflect-enemy-attack 액션을 통해 받은 데미지를 회복하기 위해 필요
            ('=', ('hp', 'enemy'), 100),  # enemy의 시작 hp
            ('=', ('mp', 'enemy'), 80),  # enemy의 시작 mp
            ('=', ('damaged', 'enemy'), 0),  # enemy가 입은 데미지 초기 값, enemy는 reflect-enemy-attack 액션을 사용할 수 없지만, domain parameter로 인한 런타임 에러를 막기위해 필요
        ),
        # goal test 직전인 마지막 액션의 turn이 me이고, 생존 상태의 me가 enemy를 쓰러트린 state
        # me가 생존한 상태에서, enemy를 쓰러트리는 state
        goal=(
            ('prev_turn', 'me'),
            ('>', ('hp', 'me'), 0),
            ('<=', ('hp', 'enemy'), 0),
        )
    )

    plan = planner(problem, verbose=verbose)
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            print(action)
Exemplo n.º 11
0
focus = "focus"  # set focus on a block block
in_hand = "in_hand"  # a block is in hand (block, gripper)
block_free = "block_free"  # condition a block is graspable
hand_empty = "hand_empty"  # condition a hand is free
b_on_b = "block_on_block"  # condition block is on block
b_at_goal = "b_at_goal"

actions = [
    Action("Grab",
           parameters=(
               (type_gripper, "g"),
               (type_block, "b"),
           ),
           preconditions=((hand_empty, "g"), (block_free, "b")),
           effects=(
               neg((hand_empty, "g")),
               (in_hand, "b", "g"),
           ),
           unique=True),
    Action("PlaceGoal",
           parameters=(
               (type_gripper, "g"),
               (type_block, "b"),
           ),
           preconditions=((in_hand, "b", "g"), ),
           effects=(
               (b_at_goal, "b"),
               neg((in_hand, "b", "g")),
               (hand_empty, "g"),
           ),
           unique=True),
Exemplo n.º 12
0
 def effect(self, *args):
     return (self.condition(*args)[0],
             pyddl.neg(self.neg().condition(*args)[0]))
Exemplo n.º 13
0
 def effect(self, *args):
     return (pyddl.neg(self.neg().effect(*args)[0]), )
def problem(verbose, initialState, endState, ValueExchangeMap, mandatoryTimmedTasks, deadline, timeout, mode=1):
    timeoutStart = int(round(time.time() * 1000))
    tasks = tuple([key for key, val in ValueExchangeMap.items()])
    listOfLocations = list(set([i['location'] for key, i in ValueExchangeMap.items()]))
    taskactionsList = []
    mandatoryTasksList = []
    for idx, mandatoryTasks in enumerate(mandatoryTimmedTasks):
        startTime = mandatoryTasks[0]
        endTime = mandatoryTasks[1]
        startLoc = mandatoryTasks[2]
        endLoc = mandatoryTasks[3]
        movable = mandatoryTasks[4]
        effectResources = mandatoryTasks[5]
        parameters = [
            # ('location', 'l'),
        ]

        # ([('<=', ('t',), startTime)] if not movable else []) + \
        preconditions = [('>=', i[1], i[2]) for i in effectResources if i[0] == '-='] + \
                        ([('<=', ('t',), startTime)] if not movable else []) + \
                        [('=', ('mand',), idx)] + \
                        ([('at', startLoc)] if startLoc not in ['Undefined', 'Moving'] else [])
        effects = effectResources + \
                  ([('==', ('t',), endTime)] if not movable else [('+=', ('t',), endTime - startTime)]) + \
                  [('+=', ('mand',), 1)] + \
                  ([(neg(('at', loc)) if loc != endLoc else ('at', endLoc)) for loc in
                    listOfLocations] if endLoc not in ['Undefined', 'Moving'] else [])
        thisaction = Action(
            str('#' + str(idx)),
            parameters=tuple(parameters),
            preconditions=tuple(preconditions),
            effects=tuple(effects))
        taskactionsList.append(thisaction)
        mandatoryTasksList.append(effectResources)

    for task in tasks:
        for idxin, inMode in enumerate(ValueExchangeMap[task]['in']):
            for idxout, outMode in enumerate(ValueExchangeMap[task]['out']):
                location = ValueExchangeMap[task]['location']
                parameters = [
                    # ('location', 'l'),
                ]
                preconditions = [('<=', ('t',), int(deadline - int(ValueExchangeMap[task]['time'])))] + \
                                [('>=', (key,), -int(inMode[key])) for key, val in inMode.items()] + \
                                [('>=', ('t',), 0)] + \
                                ([('at', location)] if location not in ['Undefined', 'Moving'] else [])
                effects = [('+=', (key,), int(inMode[key])) for key, val in inMode.items()] + \
                          [('+=', (key,), int(outMode[key])) for key, val in outMode.items()] + \
                          [('+=', ('t',), ValueExchangeMap[task]['time'])] + \
                          ([(neg(('at', loc)) if loc != ValueExchangeMap[task]['moveto'] else (
                              'at', ValueExchangeMap[task]['moveto'])) for loc in listOfLocations if
                            loc not in ['Undefined', 'Moving']] if 'moveto' in ValueExchangeMap[task] else [])
                thisaction = Action(
                    (str(task) if (idxin + idxout == 0) else (str(task) + ' [' + str(idxin) + '_' + str(idxout) + ']')),
                    parameters=tuple(parameters),
                    preconditions=tuple(preconditions) if len(preconditions) > 0 else ((),),
                    effects=tuple(effects))
                taskactionsList.append(thisaction)

    domain = Domain(tuple(taskactionsList))
    problem = Problem(
        domain,
        {
            # 'location': tuple(listOfLocations)
        },
        init=initialState,
        goal=endState
    )

    def checkCompleteLevel(state, alllevels):
        statecopy = copy.deepcopy(state.f_dict)
        planLevel = state.f_dict[('mand',)]
        realLevel = planLevel
        progressAbovePlanLevel = 0

        if planLevel == len(mandatoryTasksList): return planLevel, 0
        for i in range(planLevel, (len(mandatoryTasksList) if alllevels else (planLevel + 1))):
            for req in mandatoryTasksList[i]:
                if req[0] == '-=' and req[1] in statecopy:
                    if statecopy[req[1]] > req[2]:
                        progressAbovePlanLevel += req[2]
                    else:
                        progressAbovePlanLevel += statecopy[req[1]]

            # apply mandatoryTasks and check
            for req in mandatoryTasksList[i]:
                if req[0] == '-=':
                    statecopy[req[1]] -= req[2]
                elif req[0] == '+=':
                    statecopy[req[1]] += req[2]
            if not all(
                    [(val >= 0) for key, val in statecopy.items() if key in [j[1] for j in mandatoryTasksList[i]]]):

                break
                # continue
            else:
                realLevel = i + 1

        return realLevel, progressAbovePlanLevel

    def checkCompletedProgress(planLevel):
        prevProgress = 0
        for i in range(0, planLevel):
            prevProgress += sum([(i[2] if i[2] > 0 else 0) for i in mandatoryTasksList[i]])
        return prevProgress

    def getPlanByState(state):
        tmpstate = state
        tmpplan = []
        while tmpstate.predecessor is not None:
            tmpplan.append(tmpstate.predecessor[1].name)
            tmpstate = tmpstate.predecessor[0]
        return list(reversed(tmpplan))

    def dependancy_heuristic(state):
        if int(round(time.time() * 1000)) - timeoutStart > timeout: raise

        planLevel = state.f_dict[('mand',)]
        if planLevel == 0: return 0

        # Current Plan
        planCurrent = getPlanByState(state)

        # Progress to next level
        realLevel, realProgressOnThisLevel = checkCompleteLevel(state, alllevels=False)

        # Progress to all following levels
        realLevel, realProgressOnAllLevel = checkCompleteLevel(state, alllevels=True)

        excessT = ''
        # Check if time of this level exceeds limit
        if planLevel > 0 and planLevel < len(mandatoryTimmedTasks):
            progressAbovePlanTime = sum(
                [ValueExchangeMap[key]['time'] for key in
                 planCurrent[planCurrent.index('#' + str(planLevel - 1)) + 1:]])
            excessT = planCurrent[:planCurrent.index('#' + str(planLevel - 1))]
            if progressAbovePlanTime > (
                    mandatoryTimmedTasks[planLevel][0] - mandatoryTimmedTasks[planLevel - 1][1]):
                realLevel -= 1
                planLevel -= 1
                realProgressOnThisLevel = 0
                realProgressOnAllLevel = 0

        # Sum of planned tasks
        planned = sum(
            [1 for key in
             planCurrent[:planCurrent.index('#' + str(planLevel - 1)) + 1] if
             key.startswith('MOVING')]) if planLevel > 0 else 0

        # Sum of resolved resource
        prevProgress = checkCompletedProgress(planLevel)

        if mode == 1:
            # Early the better
            dist = (planLevel + planned) + prevProgress + realProgressOnAllLevel
        elif mode == 2:
            # Early the better Aggressive
            dist = planLevel + (prevProgress + realProgressOnAllLevel) * 2
        elif mode == 3:
            # Faster the better
            dist = (planned + planLevel) * 100000 + (realProgressOnThisLevel)
        else:
            pass

        print(
            str(dist) + ' ' + str(planLevel) + ' ' + str(realLevel) + ' ' + str(prevProgress) + ' ' + str(
                realProgressOnThisLevel) + ' ' + str(realProgressOnAllLevel) + ' ' + str(planCurrent)
        )
        # + ' ' + str(getPlanByState(state))
        return -dist

    plan = planner(problem, heuristic=dependancy_heuristic, verbose=verbose)
    resultPlan = []
    loc = 'Undefined'
    for action in plan:
        duration = 0
        for eff in action.add_effects:
            if eff[0] == 'at': loc = eff[1]
        for numeff in action.num_effects:
            if numeff[0] == (('t'),): duration = numeff[1]
        resultPlan.append([action.name, duration, (loc if (not action.name.startswith('MOVING:')) else 'Moving')])

    return resultPlan
Exemplo n.º 15
0
def problem(verbose):
    domain = Domain((
        Action(
            #학교에 갈 짐을 쌉니다. 교재와 펜을 챙겨야 합니다.
            'pack',
            parameters=(
                ('things', 'th'),
            ),
            preconditions=(
                ('at', 'home'),
            ),
            effects=(
                ('packed', 'th'),
            ),
        ),
        
        Action(
            #교재와 펜을 챙기면 밖으로 나올 수 있습니다. 피시방을 가거나 학교에 갑니다.
            'walk',
            parameters=(
                ('locations', 'loc'),
            ),
            preconditions=(
                ('packed', 'textbook'),
                ('packed', 'pen'),
            ),
            effects=(
                ('at', 'loc'),
            ),
        ),
        
        Action(
            #맞는 교실을 갑니다. 지금은 인공지능 수업을 가야할 때 입니다.
            'goclass',
            parameters=(
                ('buildings', 'bui'),
            ),
            preconditions=(
                ('at', 'waytoschool'),
            ),
            effects=(
                ('at', 'bui'),
                neg(('at','waytoschool')),
            ),
        ),
        
        Action(
            #가지고 온 것들을 엽니다. 인공지능 수업에 있고 교재가 필요합니다.
            'seetextbook',
            parameters=(
                ('things', 'th'),
            ),
            preconditions=(
                ('at', 'aiclass'),
                ('packed','textbook')
            ),
            effects=(
                neg(('packed', 'textbook')),
                ('open','th')
            ),
        ),
        
        Action(
            #수업을 듣습니다. 교재를 핀 상태여야 합니다.
            'takeclass',
            parameters=(
                ('things', 'th'),
            ),
            preconditions=(
                ('open', 'textbook'),
            ),
            effects=(
                ('study', 'th'),
            ),
        ),
        
        Action(
            #수업이 끝나면 물건들을 닫고 마무리합니다.
            'endclass',
            parameters=(
                ('things', 'th'),
            ),
            preconditions=(
                ('study', 'textbook'),
            ),
            effects=(
                ('closed', 'th'),
            ),
        ),
        
    ))
    problem = Problem(
        domain,
        {
            'things': ('textbook', 'comicbook','pen'),
            'locations': ('PCroom', 'waytoschool'),
            'buildings': ('aiclass', 'algorithmclass'),
            
        },
        init=(
            ('at', 'home'),
        ),
        goal=(
            ('closed', 'textbook'),
        )
    )

    plan = planner(problem, verbose=verbose)
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            print(action)
    def getProblem(self):

        init = list()  #list predikatov

        #list pozicii a co sa tam nachadza
        for i in range(self.__maxX):
            for j in range(self.__maxY):
                if (self.__map[(i, j)] == '#'):
                    init.append(["at", str(i), str(j), '#'])
                elif (self.__map[(i, j)] == 'A'):
                    init.append(["at", str(i), str(j), 'A'])
                    init.append(["at", str(i), str(j), "blank"])
                elif (self.__map[(i, j)] == 'W'):
                    init.append(["at", str(i), str(j), 'W'])
                elif (self.__map[(i, j)] == 'g'):
                    init.append(["at", str(i), str(j), 'g'])
                    init.append(["at", str(i), str(j), "blank"])
                elif (self.__map[(i, j)] == ' '):
                    init.append(["at", str(i), str(j), "blank"])
                elif (self.__map[(i, j)] == '@'):  #startovna pozicia
                    init.append(["at", str(i), str(j), '@'])

        #inicializacia poctu zlata a sipov
        init.append(['=', ('arrow', ), 0])
        init.append(['=', ('gold', ), 0])

        #decrements
        for i in range(max(self.__maxX, self.__maxY)):
            init.append(["inc", str(i), str(i + 1)])
            init.append(["dec", str(i + 1), str(i)])

#    goal = list()
#    goal.append(['at', str(self.__startX), str(self.__startY), '@'])
#    goal.append(['=', ('gold',), self.__totalGold])

# goal = list((['at', str(self.__startX), str(self.__startY), '@'],['=', ('gold',), self.__totalGold]))
        goal = list()
        goal.append(('at', str(self.__startX), str(self.__startY), '@'))
        goal.append(('=', ('gold', ), self.__totalGold))

        positions = list()
        #lst stringov, vsetkych moznych pozicii (iba jednu poziciu,
        #teda max z Y a X)
        for i in range(max(self.__maxX, self.__maxY)):
            positions.append(["position", str(i)])

        #treba si pamatat poziciu lovca - zadefinovat predikat kde prave stoji

        print(init)
        print(goal)

        domain = pyddl.Domain((
            Action(
                'move-up',  #done
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'by'),
                ),
                preconditions=(
                    ('dec', 'by', 'py'),
                    ('at', 'px', 'by', 'blank'),
                ),
                effects=(
                    neg(('at', 'px', 'by', 'blank')),
                    neg(('at', 'px', 'py', '@')),
                    ('at', 'px', 'py', 'blank'),
                    ('at', 'px', 'by', '@'),
                ),
            ),
            Action(
                'move-down',  #done
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'by'),
                ),
                preconditions=(
                    ('inc', 'by', 'py'),
                    ('at', 'px', 'py', 'blank'),
                ),
                effects=(
                    neg(('at', 'px', 'by', "blank")),
                    neg(('at', 'px', 'py', '@')),
                    ('at', 'px', 'py', "blank"),
                    ('at', 'px', 'by', '@'),
                ),
            ),
            Action(
                'move-left',  #done
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'bx'),
                ),
                preconditions=(
                    ('dec', 'bx', 'px'),
                    ('at', 'px', 'py', "blank"),
                ),
                effects=(
                    neg(('at', 'bx', 'py', "blank")),
                    neg(('at', 'px', 'py', '@')),
                    ('at', 'px', 'py', "blank"),
                    ('at', 'bx', 'py', '@'),
                ),
            ),
            Action(
                'move-right',  #done
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'bx'),
                ),
                preconditions=(
                    ('inc', 'bx', 'px'),
                    ('at', 'px', 'py', "blank"),
                ),
                effects=(
                    neg(('at', 'bx', 'py', "blank")),
                    neg(('at', 'px', 'py', '@')),
                    ('at', 'px', 'py', "blank"),
                    ('at', 'bx', 'py', '@'),
                ),
            ),
            Action(
                'take-gold',  #done
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                ),
                preconditions=(('at'
                                'px', 'py', 'g'), ),
                effects=(neg(('at', 'px', 'py', 'g')), ('+=', ("gold", ), 1)),
            ),
            Action(
                'take-arrow',  #done
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                ),
                preconditions=(('at', 'px', 'py', 'A'), ),
                effects=(neg(('at', 'px', 'py', 'A')), ('+=', ("arrow", ), 1)),
            ),
            Action(
                'shoot-wumpus-down',  #todo
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'bx'),
                ),
                preconditions=(
                    ('inc', 'bx', 'px'),
                    ('at', 'bx', 'py', 'W'),
                    ('at', 'px', 'py', '@'),
                    ('>', ("arrow", ), 0),
                ),
                effects=(
                    neg(('at', 'bx', 'py', 'W')),
                    ('-=', ("arrow", ), 1),
                    ('at', 'bx', 'py', "blank"),
                ),
            ),
            Action(
                'shoot-wumpus-left',  #done
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'bx'),
                ),
                preconditions=(
                    ('inc', 'bx', 'px'),
                    ('at', 'bx', 'py', 'W'),
                    ('at', 'px', 'py', '@'),
                    ('>', ("arrow", ), 0),
                ),
                effects=(
                    neg(('at', 'px', 'py', 'W')),
                    ('-=', ("arrow", ), 1),
                    ('at', 'bx', 'py', "blank"),
                ),
            ),
            Action(
                'shoot-wumpus-up',  #done
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'bx'),
                ),
                preconditions=(
                    ('inc', 'bx', 'px'),
                    ('at', 'bx', 'py', 'W'),
                    ('at', 'px', 'py', '@'),
                    ('>', ("arrow", ), 0),
                ),
                effects=(
                    neg(('at', 'bx', 'py', 'W')),
                    ('-=', ("arrow", ), 1),
                    ('at', 'bx', 'py', "blank"),
                ),
            ),
            Action(
                'shoot-wumpus-down',  #done
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'bx'),
                ),
                preconditions=(
                    ('inc', 'bx', 'px'),
                    ('at', 'bx', 'py', 'W'),
                    ('at', 'px', 'py', '@'),
                    ('>', ("arrow", ), 0),
                ),
                effects=(
                    neg(('at', 'bx', 'py', 'W')),
                    ('-=', ("arrow", ), 1),
                    ('at', 'bx', 'py', "blank"),
                ),
            ),
        ))

        problem = pyddl.Problem(
            domain,
            {
                'position': tuple(positions),
            },
            init=tuple(init),
            goal=tuple(goal),
        )
        return problem
Exemplo n.º 17
0
def problem(verbose):
    domain = Domain((
        Action(
            'move-up',
            parameters=(
                ('tile', 't'),
                ('position', 'px'),
                ('position', 'py'),
                ('position', 'by'),
            ),
            preconditions=(
                ('dec', 'by', 'py'),
                ('blank', 'px', 'by'),
                ('at', 't', 'px', 'py'),
            ),
            effects=(
                neg(('blank', 'px', 'by')),
                neg(('at', 't', 'px', 'py')),
                ('blank', 'px', 'py'),
                ('at', 't', 'px', 'by'),
            ),
        ),
        Action(
            'move-down',
            parameters=(
                ('tile', 't'),
                ('position', 'px'),
                ('position', 'py'),
                ('position', 'by'),
            ),
            preconditions=(
                ('inc', 'by', 'py'),
                ('blank', 'px', 'by'),
                ('at', 't', 'px', 'py'),
            ),
            effects=(
                neg(('blank', 'px', 'by')),
                neg(('at', 't', 'px', 'py')),
                ('blank', 'px', 'py'),
                ('at', 't', 'px', 'by'),
            ),
        ),
        Action(
            'move-left',
            parameters=(
                ('tile', 't'),
                ('position', 'px'),
                ('position', 'py'),
                ('position', 'bx'),
            ),
            preconditions=(
                ('dec', 'bx', 'px'),
                ('blank', 'bx', 'py'),
                ('at', 't', 'px', 'py'),
            ),
            effects=(
                neg(('blank', 'bx', 'py')),
                neg(('at', 't', 'px', 'py')),
                ('blank', 'px', 'py'),
                ('at', 't', 'bx', 'py'),
            ),
        ),
        Action(
            'move-right',
            parameters=(
                ('tile', 't'),
                ('position', 'px'),
                ('position', 'py'),
                ('position', 'bx'),
            ),
            preconditions=(
                ('inc', 'bx', 'px'),
                ('blank', 'bx', 'py'),
                ('at', 't', 'px', 'py'),
            ),
            effects=(
                neg(('blank', 'bx', 'py')),
                neg(('at', 't', 'px', 'py')),
                ('blank', 'px', 'py'),
                ('at', 't', 'bx', 'py'),
            ),
        ),
    ))
    problem = Problem(
        domain,
        {
            'tile': (1, 2, 3, 4, 5, 6, 7, 8),
            'position': (1, 2, 3),
        },
        init=(
            ('inc', 1, 2),
            ('inc', 2, 3),
            ('dec', 3, 2),
            ('dec', 2, 1),
            ('at', 8, 1, 1),
            ('at', 7, 2, 1),
            ('at', 6, 3, 1),
            ('blank', 1, 2),
            ('at', 4, 2, 2),
            ('at', 1, 3, 2),
            ('at', 2, 1, 3),
            ('at', 5, 2, 3),
            ('at', 3, 3, 3),
        ),
        goal=(
            ('blank', 1, 1),
            ('at', 1, 2, 1),
            ('at', 2, 3, 1),
            ('at', 3, 1, 2),
            ('at', 4, 2, 2),
            ('at', 5, 3, 2),
            ('at', 6, 1, 3),
            ('at', 7, 2, 3),
            ('at', 8, 3, 3),
        )
    )

    def to_coordinates(state):
        grid = {}
        for p in state:
            if p[0] == 'at':
                grid[p[1]] = (p[2], p[3])
        return grid

    goal_coords = to_coordinates(problem.goals)

    def manhattan_distance_heuristic(state):
        state_coords = to_coordinates(state.predicates)
        dist = 0
        for k in goal_coords.keys():
            c1, r1 = goal_coords[k]
            c2, r2 = state_coords[k]
            dist += (abs(c1 - c2) + abs(r1 - r2))
        return dist

    plan = planner(problem, heuristic=manhattan_distance_heuristic, verbose=verbose)
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            print(action)
Exemplo n.º 18
0
    def getProblem(self):
        init = list()
        init.append(('=', ('arrows', ), 0))
        init.append(('=', ('gold', ), 0))
        init.append(('hunter', str(self.__startX), str(self.__startY)))
        a = max(self.__maxX, self.__maxY)

        for i in range(a):
            init.append(('dec', str(a - i), str(a - i - 1)))

        for i in range(self.__maxX + 1):
            for j in range(self.__maxY + 1):
                x = ()
                if self.__map[(i, j)] == '@':
                    x = ('at', '@', str(i), str(j))
                if self.__map[(i, j)] == 'W':
                    x = ('at', 'W', str(i), str(j))
                if self.__map[(i, j)] == 'A':
                    init.append(('at', 'blank', str(i), str(j)))
                    x = ('at', 'A', str(i), str(j))
                if self.__map[(i, j)] == 'g':
                    init.append(('at', 'blank', str(i), str(j)))
                    x = ('at', 'g', str(i), str(j))
                if self.__map[(i, j)] == '#':
                    x = ('at', '#', str(i), str(j))
                if self.__map[(i, j)] == ' ':
                    x = ('at', 'blank', str(i), str(j))

                init.append(x)

        goal = list()
        goal.append(('hunter', str(self.__startX), str(self.__startY)))
        goal.append(('=', ('gold', ), self.__totalGold))

        positions = list()
        for x in range(a + 1):
            positions.append(str(x))

        domain = pyddl.Domain((
            Action(
                'move-down',
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'by'),
                ),
                preconditions=(
                    ('dec', 'by', 'py'),
                    ('at', 'blank', 'px', 'by'),
                    ('hunter', 'px', 'py'),
                ),
                effects=(
                    neg(('at', 'blank', 'px', 'by')),
                    neg(('hunter', 'px', 'py')),
                    ('at', 'blank', 'px', 'py'),
                    ('hunter', 'px', 'by'),
                ),
            ),
            Action(
                'move-up',
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'by'),
                ),
                preconditions=(
                    ('dec', 'py', 'by'),
                    ('at', 'blank', 'px', 'by'),
                    ('hunter', 'px', 'py'),
                ),
                effects=(
                    neg(('at', 'blank', 'px', 'by')),
                    neg(('hunter', 'px', 'py')),
                    ('at', 'blank', 'px', 'py'),
                    ('hunter', 'px', 'by'),
                ),
            ),
            Action(
                'move-left',
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'bx'),
                ),
                preconditions=(
                    ('dec', 'px', 'bx'),
                    ('at', 'blank', 'bx', 'py'),
                    ('hunter', 'px', 'py'),
                ),
                effects=(
                    neg(('at', 'blank', 'bx', 'py')),
                    neg(('hunter', 'px', 'py')),
                    ('at', 'blank', 'px', 'py'),
                    ('hunter', 'bx', 'py'),
                ),
            ),
            Action(
                'move-right',
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'bx'),
                ),
                preconditions=(
                    ('dec', 'bx', 'px'),
                    ('at', 'blank', 'bx', 'py'),
                    ('hunter', 'px', 'py'),
                ),
                effects=(
                    neg(('at', 'blank', 'bx', 'py')),
                    neg(('hunter', 'px', 'py')),
                    ('at', 'blank', 'px', 'py'),
                    ('hunter', 'bx', 'py'),
                ),
            ),
            Action(
                'shoot-wumpus-down',
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'by'),
                ),
                preconditions=(
                    ('dec', 'by', 'py'),
                    ('at', 'W', 'px', 'by'),
                    ('>', ('arrows', ), 0),
                    ('hunter', 'px', 'py'),
                ),
                effects=(neg(('at', 'W', 'px', 'by')),
                         ('at', 'blank', 'px', 'by'), ('-=', ('arrows', ), 1)),
            ),
            Action(
                'shoot-wumpus-up',
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'by'),
                ),
                preconditions=(
                    ('dec', 'py', 'by'),
                    ('at', 'W', 'px', 'by'),
                    ('>', ('arrows', ), 0),
                    ('hunter', 'px', 'py'),
                ),
                effects=(neg(('at', 'W', 'px', 'by')),
                         ('at', 'blank', 'px', 'by'), ('-=', ('arrows', ), 1)),
            ),
            Action(
                'shoot-wumpus-right',
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'bx'),
                ),
                preconditions=(
                    ('dec', 'bx', 'px'),
                    ('at', 'W', 'bx', 'py'),
                    ('>', ('arrows', ), 0),
                    ('hunter', 'px', 'py'),
                ),
                effects=(neg(('at', 'W', 'bx', 'py')),
                         ('at', 'blank', 'bx', 'py'), ('-=', ('arrows', ), 1)),
            ),
            Action(
                'shoot-wumpus-left',
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                    ('position', 'bx'),
                ),
                preconditions=(
                    ('dec', 'px', 'bx'),
                    ('at', 'W', 'bx', 'py'),
                    ('>', ('arrows', ), 0),
                    ('hunter', 'px', 'py'),
                ),
                effects=(neg(('at', 'W', 'bx', 'py')),
                         ('at', 'blank', 'bx', 'py'), ('-=', ('arrows', ), 1)),
            ),
            Action(
                'take-gold',
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                ),
                preconditions=(
                    ('at', 'g', 'px', 'py'),
                    ('hunter', 'px', 'py'),
                ),
                effects=(neg(('at', 'g', 'px', 'py')),
                         ('at', 'blank', 'px', 'py'), ('+=', ('gold', ), 1)),
            ),
            Action(
                'take-arrow',
                parameters=(
                    ('position', 'px'),
                    ('position', 'py'),
                ),
                preconditions=(
                    ('at', 'A', 'px', 'py'),
                    ('hunter', 'px', 'py'),
                ),
                effects=(neg(('at', 'A', 'px', 'py')),
                         ('at', 'blank', 'px', 'py'), ('+=', ('arrows', ), 1)),
            ),
        ))

        problem = pyddl.Problem(
            domain,
            {
                'position': tuple(positions),
            },
            init=tuple(init),
            goal=tuple(goal),
        )

        return problem
Exemplo n.º 19
0
def problem(verbose):
    domain = Domain((
        Action(
            'move-up',
            parameters=(
                ('tile', 't'),
                ('position', 'px'),
                ('position', 'py'),
                ('position', 'by'),
            ),
            preconditions=(
                ('dec', 'by', 'py'),
                ('blank', 'px', 'by'),
                ('at', 't', 'px', 'py'),
            ),
            effects=(
                neg(('blank', 'px', 'by')),
                neg(('at', 't', 'px', 'py')),
                ('blank', 'px', 'py'),
                ('at', 't', 'px', 'by'),
            ),
        ),
        Action(
            'move-down',
            parameters=(
                ('tile', 't'),
                ('position', 'px'),
                ('position', 'py'),
                ('position', 'by'),
            ),
            preconditions=(
                ('inc', 'by', 'py'),
                ('blank', 'px', 'by'),
                ('at', 't', 'px', 'py'),
            ),
            effects=(
                neg(('blank', 'px', 'by')),
                neg(('at', 't', 'px', 'py')),
                ('blank', 'px', 'py'),
                ('at', 't', 'px', 'by'),
            ),
        ),
        Action(
            'move-left',
            parameters=(
                ('tile', 't'),
                ('position', 'px'),
                ('position', 'py'),
                ('position', 'bx'),
            ),
            preconditions=(
                ('dec', 'bx', 'px'),
                ('blank', 'bx', 'py'),
                ('at', 't', 'px', 'py'),
            ),
            effects=(
                neg(('blank', 'bx', 'py')),
                neg(('at', 't', 'px', 'py')),
                ('blank', 'px', 'py'),
                ('at', 't', 'bx', 'py'),
            ),
        ),
        Action(
            'move-right',
            parameters=(
                ('tile', 't'),
                ('position', 'px'),
                ('position', 'py'),
                ('position', 'bx'),
            ),
            preconditions=(
                ('inc', 'bx', 'px'),
                ('blank', 'bx', 'py'),
                ('at', 't', 'px', 'py'),
            ),
            effects=(
                neg(('blank', 'bx', 'py')),
                neg(('at', 't', 'px', 'py')),
                ('blank', 'px', 'py'),
                ('at', 't', 'bx', 'py'),
            ),
        ),
    ))
    problem = Problem(domain, {
        'tile': (1, 2, 3, 4, 5, 6, 7, 8),
        'position': (1, 2, 3),
    },
                      init=(
                          ('inc', 1, 2),
                          ('inc', 2, 3),
                          ('dec', 3, 2),
                          ('dec', 2, 1),
                          ('at', 8, 1, 1),
                          ('at', 7, 2, 1),
                          ('at', 6, 3, 1),
                          ('blank', 1, 2),
                          ('at', 4, 2, 2),
                          ('at', 1, 3, 2),
                          ('at', 2, 1, 3),
                          ('at', 5, 2, 3),
                          ('at', 3, 3, 3),
                      ),
                      goal=(
                          ('blank', 1, 1),
                          ('at', 1, 2, 1),
                          ('at', 2, 3, 1),
                          ('at', 3, 1, 2),
                          ('at', 4, 2, 2),
                          ('at', 5, 3, 2),
                          ('at', 6, 1, 3),
                          ('at', 7, 2, 3),
                          ('at', 8, 3, 3),
                      ))

    def to_coordinates(state):
        grid = {}
        for p in state:
            if p[0] == 'at':
                grid[p[1]] = (p[2], p[3])
        return grid

    goal_coords = to_coordinates(problem.goals)

    def manhattan_distance_heuristic(state):
        state_coords = to_coordinates(state.predicates)
        dist = 0
        for k in goal_coords.keys():
            c1, r1 = goal_coords[k]
            c2, r2 = state_coords[k]
            dist += (abs(c1 - c2) + abs(r1 - r2))
        return dist

    plan = planner(problem,
                   heuristic=manhattan_distance_heuristic,
                   verbose=verbose)
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            print(action)
Exemplo n.º 20
0
def problem(verbose):
    # problem domain
    domain = Domain((
        # Function to move between tiles.
        Action(
            "move",
            # P1 and P2 are the parameters the solver will tweak.
            parameters=(
                ("agent", "A"),
                ("position", "P1"),
                ("position", "P2"),
            ),
            # Agent(a), Adjacent(P1, P2), At(a, P1), Blank(P2)
            preconditions=(
                ("adjacent", "P1", "P2"),
                ("at", "A", "P1"),
                ("blank", "P2"),
            ),
            # At(a, P2), Blank(P1), not(At(a, P1)), not(Blank(P2))
            effects=(
                ("at", "A", "P2"),
                ("blank", "P1"),
                neg(("at", "A", "P1")),
                neg(("blank", "P2")),
            )), ))
    problem = Problem(
        domain,
        {
            # type          values
            "agent": ("a", "b"),
            "position": (1, 2, 3, 4, 5, 6, 7, 8, 9),
        },
        init=(
            # initial KB for our problem
            ("at", "a", 1),
            ("at", "b", 9),
            ("blank", 2),
            ("blank", 3),
            ("blank", 4),
            ("blank", 5),
            ("blank", 6),
            ("blank", 7),
            ("blank", 8),
            ("adjacent", 1, 2),
            ("adjacent", 1, 4),
            ("adjacent", 2, 1),
            ("adjacent", 2, 5),
            ("adjacent", 2, 3),
            ("adjacent", 3, 2),
            ("adjacent", 3, 6),
            ("adjacent", 4, 1),
            ("adjacent", 4, 5),
            ("adjacent", 4, 7),
            ("adjacent", 5, 2),
            ("adjacent", 5, 4),
            ("adjacent", 5, 6),
            ("adjacent", 5, 8),
            ("adjacent", 6, 3),
            ("adjacent", 6, 5),
            ("adjacent", 6, 9),
            ("adjacent", 7, 4),
            ("adjacent", 7, 8),
            ("adjacent", 8, 7),
            ("adjacent", 8, 5),
            ("adjacent", 8, 9),
            ("adjacent", 9, 6),
            ("adjacent", 9, 8),
        ),
        goal=(
            ("at", "a", 9),
            ("at", "b", 1),
        ))

    postable = {
        1: (1, 1),
        2: (1, 2),
        3: (1, 3),
        4: (2, 1),
        5: (2, 2),
        6: (2, 3),
        7: (3, 1),
        8: (3, 2),
        9: (3, 3)
    }

    def to_coordinates(state):
        poslist = {}
        for p in state:
            if p[0] == "at":
                poslist[p[1]] = postable[p[2]]
        return poslist

    goal_coords = to_coordinates(problem.goals)

    def manhattan_distance_heuristic(state):
        state_coords = to_coordinates(state.predicates)
        dist = 0
        for k in goal_coords.keys():
            c1, r1 = goal_coords[k]
            c2, r2 = state_coords[k]
            dist += (abs(c1 - c2) + abs(r1 - r2))
        return dist

    plan = planner(problem,
                   heuristic=manhattan_distance_heuristic,
                   verbose=verbose)
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            print(action)
Exemplo n.º 21
0
def problem(verbose):
    domain = Domain((
        Action(
            'walk',
            parameters=(
                ('person', 'p'),
                ('location', 'l1'),
                ('location', 'l2'),
            ),
            preconditions=(('at', 'p', 'l1'), ),
            effects=(
                ('at', 'p', 'l2'),
                neg(('at', 'p', 'l1')),
            ),
        ),
        Action(
            'pick_from',
            parameters=(
                ('person', 'p'),
                ('object', 'o1'),
                ('object', 'o2'),
                ('location', 'l'),
            ),
            preconditions=(
                ('at', 'o1', 'l'),
                ('contains', 'o1', 'o2'),
                ('at', 'p', 'l'),
                ('found', 'p', 'o2'),
            ),
            effects=(
                ('has', 'p', 'o2'),
                neg(('contains', 'o1', 'o2')),
            ),
        ),
        Action(
            'look_n_found',
            parameters=(
                ('person', 'p'),
                ('object', 'o1'),
                ('object', 'o2'),
                ('location', 'l'),
            ),
            preconditions=(
                ('at', 'p', 'l'),
                ('at', 'o1', 'l'),
                ('contains', 'o1', 'o2'),
                ('>=', ('brave', 'p'), 10),
            ),
            effects=(('found', 'p', 'o2'), ),
        ),
        Action(
            'sing_for',
            parameters=(
                ('person', 'p1'),
                ('person', 'p2'),
                ('location', 'l'),
            ),
            preconditions=(
                ('at', 'p1', 'l'),
                ('at', 'p2', 'l'),
                ('>=', ('like', 'p1', 'p2'), 10),
                ('>=', ('brave', 'p1'), 10),
            ),
            effects=(
                ('+=', ('delighted', 'p2'), 10),
                ('+=', ('jealousy', 'Jack'), 5),
            ),
        ),
        Action(
            'propose',
            parameters=(
                ('person', 'p1'),
                ('person', 'p2'),
                ('location', 'l'),
            ),
            preconditions=(
                ('at', 'p1', 'l'),
                ('at', 'p2', 'l'),
                ('>=', ('like', 'p1', 'p2'), 10),
                ('>=', ('brave', 'p1'), 10),
            ),
            effects=(
                ('+=', ('like', 'p2', 'p1'), 5),
                ('+=', ('jealousy', 'Jack'), 5),
            ),
        ),
        Action(
            'steal',
            parameters=(
                ('person', 'p1'),
                ('person', 'p2'),
                ('object', 'o'),
                ('location', 'l'),
            ),
            preconditions=(
                ('at', 'p1', 'l'),
                ('at', 'p2', 'l'),
                ('has', 'p2', 'ring'),
                ('>=', ('jealousy', 'p1'), 10),
            ),
            effects=(
                neg(('has', 'p2', 'ring')),
                ('has', 'p1', 'ring'),
                ('+=', ('upset', 'p2'), 5),
            ),
        ),
        Action(
            'give_ring',
            parameters=(
                ('person', 'p1'),
                ('person', 'p2'),
                ('location', 'l'),
            ),
            preconditions=(
                ('has', 'p1', 'ring'),
                ('at', 'p1', 'l'),
                ('at', 'p2', 'l'),
                ('>=', ('like', 'p1', 'p2'), 10),
            ),
            effects=(
                ('wait_accept', 'p1', 'p2', 'l'),
                ('+=', ('happy', 'p2'), 5),
                ('+=', ('jealousy', 'Jack'), 5),
            ),
        ),
        Action(
            'accept_ring',
            parameters=(
                ('person', 'p1'),
                ('person', 'p2'),
                ('location', 'l'),
            ),
            preconditions=(
                ('wait_accept', 'p2', 'p1', 'l'),
                ('has', 'p2', 'ring'),
                ('at', 'p1', 'l'),
                ('at', 'p2', 'l'),
                ('>=', ('like', 'p1', 'p2'), 10),
                ('>=', ('happy', 'p1'), 10),
                ('>=', ('delighted', 'p1'), 10),
            ),
            effects=(
                neg(('has', 'p2', 'ring')),
                ('has', 'p1', 'ring'),
                ('+=', ('happy', 'p2'), 5),
                ('propose_accepted', 'p1', 'p2'),
                ('+=', ('jealousy', 'Jack'), 5),
            ),
        ),
        Action(
            'wisper',
            parameters=(
                ('person', 'p1'),
                ('person', 'p2'),
                ('location', 'l'),
            ),
            preconditions=(
                ('at', 'p1', 'l'),
                ('at', 'p2', 'l'),
                ('>=', ('like', 'p1', 'p2'), 10),
            ),
            effects=(('-=', ('upset', 'p2'), 5), ),
        ),
        Action(
            'accept_propose',
            parameters=(
                ('person', 'p1'),
                ('person', 'p2'),
                ('location', 'l'),
            ),
            preconditions=(
                ('at', 'p1', 'l'),
                ('at', 'p2', 'l'),
                ('>=', ('like', 'p1', 'p2'), 10),
                ('>=', ('happy', 'p1'), 10),
                ('>=', ('delighted', 'p1'), 10),
                ('<=', ('upset', 'p1'), 1),
                ('<=', ('jealousy', 'p1'), 1),
            ),
            effects=(
                ('propose_accepted', 'p1', 'p2'),
                ('+=', ('happy', 'p2'), 5),
                ('+=', ('desparate', 'Jack'), 10),
            ),
        ),
    ))
    problem = Problem(
        domain,
        {
            'location': ('loc1', 'loc2', 'loc3', 'loc4'),
            'person': ('Bob', 'Marry', 'Jack'),
            'object': ('ring', 'box', 'bench'),
        },
        init=(
            ('at', 'Bob', 'loc1'),
            ('at', 'Marry', 'loc2'),
            ('at', 'Jack', 'loc3'),
            ('at', 'bench', 'loc2'),
            ('at', 'box', 'loc4'),
            ('contains', 'box', 'ring'),
            ('sit_on', 'Marry', 'bench'),
            ('=', ('like', 'Marry', 'Bob'), 5),
            ('=', ('like', 'Marry', 'Jack'), 1),
            ('=', ('like', 'Bob', 'Marry'), 10),
            ('=', ('like', 'Bob', 'Jack'), 1),
            ('=', ('like', 'Jack', 'Marry'), 10),
            ('=', ('like', 'Jack', 'Bob'), 1),
            ('=', ('like', 'Bob', 'Bob'), -1),
            ('=', ('like', 'Marry', 'Marry'), -1),
            ('=', ('like', 'Jack', 'Jack'), -1),
            ('=', ('happy', 'Bob'), 5),
            ('=', ('happy', 'Marry'), 5),
            ('=', ('happy', 'Jack'), 5),
            ('=', ('brave', 'Bob'), 10),
            ('=', ('brave', 'Marry'), 1),
            ('=', ('brave', 'Jack'), 1),
            ('=', ('delighted', 'Bob'), 5),
            ('=', ('delighted', 'Marry'), 5),
            ('=', ('delighted', 'Jack'), 5),
            ('=', ('jealousy', 'Bob'), 1),
            ('=', ('jealousy', 'Marry'), 1),
            ('=', ('jealousy', 'Jack'), 5),
            ('=', ('desparate', 'Bob'), 1),
            ('=', ('desparate', 'Marry'), 1),
            ('=', ('desparate', 'Jack'), 1),
            ('=', ('upset', 'Bob'), 1),
            ('=', ('upset', 'Marry'), 1),
            ('=', ('upset', 'Jack'), 1),
        ),
        goal=(
            #            ('propose_accepted', 'Marry', 'Bob'),
            #            ('>=', ('desparate', 'Jack'), 5),
            #            ('>=', ('happy', 'Marry'), 10),
            #            ('>=', ('happy', 'Bob'), 10),
            #            ('has', 'Jack', 'ring'),
            ('has', 'Jack', 'ring'),
            ('>=', ('jealousy', 'Jack'), 10),
            ('>=', ('happy', 'Marry'), 10),
            ('>=', ('happy', 'Bob'), 10),
        ))

    plan = planner(problem, verbose=verbose)
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            print(action)
def problem(verbose):
    domain = Domain((
        Action(
            'oppoint',
            parameters=(
                ('location', 'loc'),
                
            ),
            preconditions=(
                ('energy', 'high'),
                ('emotion', 'bad'),
            ),
            effects=(
                ('at','loc'),
                ('emotion', 'good'),
                neg(('emotion', 'bad')),
            ),
        ),
        Action(
            'dating',
            parameters=(
                ('storelist', 'store'),
                ('decidelist', 'dec'),
            ),
            preconditions=(
                neg(('at', 'home')),
            ),
            effects=(
                ('at', 'store'),
                neg(('at','dec')),
            ),
        ),
        Action(
            'buy',
            parameters=(
                ('buylist', 'buy'),
                ('storelist','store'),
            ),
            preconditions=(
                ('at', 'store'),

            ),
            effects=(
                ('have','buy'),
            ),
        ),
        Action(
            'pack',
            parameters=(
                ('buylist', 'buy'),
            ),
            preconditions=(
                ('have','buy'),

            ),
            effects=(
                ('packed','buy'),
            ),
        ),
        Action(
            'give',
            parameters=(
                ('buylist', 'buy'),
            ),
            preconditions=(
                ('packed', 'buy'),

            ),
            effects=(
                ('loverget','present'),
            ),
        ),
    ))
    problem = Problem(
        domain,
        {
            'storelist': ('restaurant', 'bookstore'),
            'buylist': ('book', 'food'),
            'decidelist': ('outside', 'playground'),
            
        },
        init=(
            ('at', 'home'),
        ),
        goal=(
            ('loverget', 'present'),
        )
    )

    plan = planner(problem, verbose=verbose)
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            print(action)
Exemplo n.º 23
0
    def __init__(self):
        #self.con = sqlite3.connect("story_demo.db")
        self.domain = Domain((Action(
            'go',
            parameters=(
                ('character', 'p'),
                ('location', 'l1'),
                ('location', 'l2'),
            ),
            preconditions=(('at', 'p', 'l1'), ),
            effects=(
                ('at', 'p', 'l2'),
                neg(('at', 'p', 'l1')),
            ),
        ),
                              Action(
                                  'purchase',
                                  parameters=(
                                      ('character', 'p'),
                                      ('product', 'pr'),
                                      ('location', 'l'),
                                  ),
                                  preconditions=(
                                      ('at', 'p', 'l'),
                                      ('instock', 'pr', 'l'),
                                      ('want', 'p', 'pr'),
                                      ('need', 'p', 'pr'),
                                  ),
                                  effects=(
                                      ('purchased', 'p', 'pr'),
                                      ('have', 'p', 'pr'),
                                      neg(('instock', 'pr', 'l')),
                                      ('outstock', 'pr', 'l'),
                                      neg(('need', 'p', 'pr')),
                                  ),
                              ),
                              Action(
                                  'fail_buy',
                                  parameters=(
                                      ('character', 'p'),
                                      ('product', 'pr'),
                                      ('location', 'l'),
                                  ),
                                  preconditions=(
                                      ('at', 'p', 'l'),
                                      ('outstock', 'pr', 'l'),
                                      ('want', 'p', 'pr'),
                                      ('need', 'p', 'pr'),
                                  ),
                                  effects=(('failedbuy', 'p', 'pr'), ),
                              ),
                              Action(
                                  'refund',
                                  parameters=(
                                      ('character', 'p'),
                                      ('product', 'pr'),
                                      ('location', 'l'),
                                  ),
                                  preconditions=(
                                      ('at', 'p', 'l'),
                                      ('have', 'p', 'pr'),
                                      ('outstock', 'pr', 'l'),
                                  ),
                                  effects=(
                                      ('instock', 'pr', 'l'),
                                      neg(('have', 'p', 'pr')),
                                      neg(('outstock', 'pr', 'l')),
                                      neg(('purchased', 'p', 'pr')),
                                  ),
                              ),
                              Action(
                                  'change_mind',
                                  parameters=(
                                      ('character', 'p'),
                                      ('product', 'pr'),
                                  ),
                                  preconditions=(
                                      ('have', 'p', 'pr'),
                                      ('want', 'p', 'pr'),
                                  ),
                                  effects=(neg(('want', 'p', 'pr')), ),
                              )))
        self.problem = Problem(
            self.domain,
            {
                'location': ('Ahome', 'Shop', 'Bhome'),
                'character': ('A', 'B'),
                'product': ('D'),
            },
            init=(
                ('at', 'A', 'Ahome'),
                ('at', 'B', 'Bhome'),
                ('want', 'A', 'D'),
                ('want', 'B', 'D'),
                ('need', 'A', 'D'),
                ('need', 'B', 'D'),
                ('instock', 'D', 'Shop'),
            ),
            goal=(
                ('failedbuy', 'A', 'D'),
                ('at', 'B', 'Shop'),
                ('instock', 'D', 'Shop'),
                ('at', 'A', 'Ahome'),
                ('need', 'A', 'D'),
            ),
        )
        #self.actions={}
        #self.ground_actions()
        grounder = Grounder(self)
        self.predicate_comb = grounder.get_predicate_combination(
            self.problem, self.domain)
        self.action_comb = [
            str(action) for action in self.problem.grounded_actions
        ]

        self.num_states = len(self.predicate_comb)
        self.num_actions = len(self.action_comb)

        self.init_state = self.problem.initial_state
        print(self.predicate_comb)
        #print(self.action_comb)
        #print(self.actions)
        #self.state_binarizer = OneHotEncoder(categories=self.predicate_comb)
        #self.state_binarizer.fit(self.predicate_comb)
        self.goal = (self.problem.goals, self.problem.num_goals)
        self.goal_set = set(self.problem.goals)
Exemplo n.º 24
0
def problem(verbose):
    with open("all_data.csv", "r") as f:
        data = f.readlines()
        data = [x.strip().strip(punctuation) for x in data]
    data = data[:40]
    medicines = []
    symptoms = []
    domain = Domain((Action(
        'take',
        parameters=(
            ('medicine', 'med'),
            ('symptom', 'sym1'),
            ('symptom', 'sym2'),
            ('symptom', 'sym3'),
        ),
        preconditions=(
            ('cures', 'med', 'sym1'),
            ('cures', 'med', 'sym2'),
            ('cures', 'med', 'sym3'),
            ('have_med', 'med'),
            ('has', 'sym1'),
            ('has', 'sym2'),
            ('has', 'sym3'),
        ),
        effects=(
            ('had', 'sym1'),
            ('had', 'sym2'),
            ('had', 'sym3'),
            neg(('have_med', 'med')),
        ),
    ), ))
    user_init = []
    user_goal = []
    user_symptoms = []

    for x in data:
        y = x.split(',')
        y = [z.strip(punctuation) for z in y]
        if len(y) < 2 or len(y) > 4:
            continue
        medicines.append(y[0])
        user_init.append(('have_med', str(y[0])))
        symptoms += y[1:]
        for sym in y[1:]:
            user_init.append(('cures', str(y[0]), str(sym)))

    with open("user_symptoms.txt", "r") as f:
        syms = f.readlines()
        syms = [s.strip().strip(punctuation) for s in syms]
        for sym in syms:
            user_init.append(('has', str(sym)))
            user_symptoms.append(str(sym))
            user_goal.append(('had', str(sym)))

    total_symptoms = len(user_init)
    user_symptoms = list(set(user_symptoms))

    problem = Problem(
        domain,
        {
            'medicine': list(set(medicines)),
            'symptom': list(set(symptoms)),
        },
        init=user_init,
        goal=user_goal,
    )

    def distance_heuristic(state):
        num_satisfied = len([
            p for p in state.predicates
            if p[0] == "had" and p[1] in user_symptoms
        ])
        return total_symptoms - num_satisfied

    plan = planner(problem, heuristic=distance_heuristic, verbose=verbose)
    if plan is None:
        print('No Plan!')
    else:
        for action in plan:
            print(action)