示例#1
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class brain(Agent):
    """The driver Agent of the program, manages all other agents. The consciousness of NEO"""
    def __init__(self, environment):
        """default constructor"""
        super(brain, self).__init__("brain", environment)
        self.CURRENT_STATE = BEHAVIOR_STATE.SCANNING
        self.facing_direction = "RIGHT"
        self.finished = False
        self.position = 100
        self.eyes = Eyes()
        self.hands = Hands()
        self.memory = Memory()
        self.mouth = Mouth()

    def scan_room(self):
        self.eyes.scan_area()
        self.mouth.report_visible_objects()
        self.finished = True

    def report_understanding(self):
        self.mouth.list_categories()

    def run_learning_program(self):
        if self.CURRENT_STATE == BEHAVIOR_STATE.SCANNING:
            self.scan_room()
            self.report_understanding()
        elif self.CURRENT_STATE == BEHAVIOR_STATE.APPROACHING:
            pass
        elif self.CURRENT_STATE == BEHAVIOR_STATE.INSPECTING:
            pass
        else:
            self.CURRENT_STATE = BEHAVIOR_STATE.FINISHED
示例#2
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 def __init__(self, environment):
     """default constructor"""
     super(brain, self).__init__("brain", environment)
     self.CURRENT_STATE = BEHAVIOR_STATE.SCANNING
     self.facing_direction = "RIGHT"
     self.finished = False
     self.position = 100
     self.eyes = Eyes()
     self.hands = Hands()
     self.memory = Memory()
     self.mouth = Mouth()
示例#3
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 def __init__(self, environment):
     """default constructor"""
     super(brain, self).__init__("brain", environment)
     self.CURRENT_STATE = BEHAVIOR_STATE.SCANNING
     self.facing_direction = "RIGHT"
     self.finished = False
     self.position = 100
     self.sql_statement = None
     self.list_of_objects = None
     self.current_object_name = None
     self.uninspected_objects = []
     self.eyes = Eyes()
     self.hands = Hands()
     self.memory = Memory()
     self.mouth = Mouth()
     self.legs = Legs()
示例#4
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文件: neo.py 项目: zc101/NEO2D
    def __init__(self, environment=None):
        """sets up details about the red rectangle as well as variables for A.I. behavior"""
        super(NEO, self).__init__("neo", environment)

        # the bot object represents NEO's physical body
        # it performs the tasks as directed by the body part classes below
        self.bot = Bot()
        # set the bot's image and angle
        self.bot.image = pygame.Surface([16, 16])
        self.bot.image = pygame.transform.scale(pygame.image.load('Neo.png'),
                                                (25, 25))
        self.original_image = self.bot.image.copy()
        self.angle = 90
        # set the starting position
        self.bot.rect.x = NEO_STARTING_X
        self.bot.rect.y = NEO_STARTING_Y
        # place the coordinates of our rectangle in a tuple to update the game manager
        self.red_coordinate = (self.bot.rect.x, self.bot.rect.y)
        self.rect = self.bot.rect

        # these different body part classes help modularize the various functions NEO performs
        self.eyes = Eyes()
        self.hands = Hands()
        self.legs = Legs()
        self.memory = Memory()
        self.mouth = Mouth()
        # self.ears = Ears()
        self.wernicke_area = Wernicke_Area()

        # these coordinates tell the agent how far away the object is
        self.object_coordinates = None
        self.distance_from_object = 0
        self.current_position = 0

        self.path_course = []
        self.path_found = False
        self.next_node_coordinates = None

        # variables for A.I. behavior
        self.inspecting = False
        self.detected_objects = pygame.sprite.Group()

        self.current_behavior = BEHAVIOR_STATE.SCANNING
        self.pathfinder = Pathfinder()
示例#5
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class brain(Agent):
    """The driver Agent of the program, manages all other agents. The consciousness of NEO"""
    def __init__(self, environment):
        """default constructor"""
        super(brain, self).__init__("brain", environment)
        self.CURRENT_STATE = BEHAVIOR_STATE.SCANNING
        self.facing_direction = "RIGHT"
        self.finished = False
        self.position = 100
        self.sql_statement = None
        self.list_of_objects = None
        self.current_object_name = None
        self.uninspected_objects = []
        self.eyes = Eyes()
        self.hands = Hands()
        self.memory = Memory()
        self.mouth = Mouth()
        self.legs = Legs()

    def determine_object_name(self):
        self.current_object_name = self.uninspected_objects[0].name
        self.uninspected_objects.pop(0)

    def find_objects(self, query):
        self.sql_statement = "SELECT OBJECT_NAME FROM OBJECTS WHERE OBJECT_COLOR = '" + query + "';"
        self.memory.recall_objects()
        self.list_of_objects = self.ask("memory", "short_term_memory")
        self.mouth.list_similar_objects()

    def scan_room(self):
        self.eyes.scan_area()
        self.mouth.report_visible_objects()

    def run_learning_program(self):
        if self.CURRENT_STATE == BEHAVIOR_STATE.SCANNING:
            self.scan_room()
            self.uninspected_objects = self.ask("eyes", "visible_object_list")
            self.CURRENT_STATE = BEHAVIOR_STATE.APPROACHING
        elif self.CURRENT_STATE == BEHAVIOR_STATE.APPROACHING:
            while self.position != self.uninspected_objects[0].position:
                self.legs.walk()
                self.position = self.ask("legs", "position")
                self.mouth.state_current_position()
            self.CURRENT_STATE = BEHAVIOR_STATE.INSPECTING
        elif self.CURRENT_STATE == BEHAVIOR_STATE.INSPECTING:
            self.hands.pick_up_object()
            self.eyes.look_at_object()
            self.determine_object_name()
            self.memory.memorize()

            if self.uninspected_objects:
                self.CURRENT_STATE = BEHAVIOR_STATE.APPROACHING
            else:
                self.finished = True
        else:
            self.CURRENT_STATE = BEHAVIOR_STATE.FINISHED
            self.finished = True
示例#6
0
文件: neo.py 项目: zc101/NEO2D
class NEO(Agent):
    """Controls the behaviors of the NEO bot

    NEO has four main tasks:
    1. scan the room for new objects,
    2. approach discovered objects,
    3. inspect objects and gather info about their attributes,
    4. accept queries from the user to test its memory of objects.

    NEO performs these tasks by using the various body part classes located in the neo_body directory. This NEO
    class essentially serves as the 'brain' class and passes commands to all other body parts as needed. NEO and every
    body part class are subclasses of the Agent class, which allows them to safely share info with each other using
    Agent Oriented Programming methods. This allows us to easily add new parts or replace parts altogether."""
    def __init__(self, environment=None):
        """sets up details about the red rectangle as well as variables for A.I. behavior"""
        super(NEO, self).__init__("neo", environment)

        # the bot object represents NEO's physical body
        # it performs the tasks as directed by the body part classes below
        self.bot = Bot()
        # set the bot's image and angle
        self.bot.image = pygame.Surface([16, 16])
        self.bot.image = pygame.transform.scale(pygame.image.load('Neo.png'),
                                                (25, 25))
        self.original_image = self.bot.image.copy()
        self.angle = 90
        # set the starting position
        self.bot.rect.x = NEO_STARTING_X
        self.bot.rect.y = NEO_STARTING_Y
        # place the coordinates of our rectangle in a tuple to update the game manager
        self.red_coordinate = (self.bot.rect.x, self.bot.rect.y)
        self.rect = self.bot.rect

        # these different body part classes help modularize the various functions NEO performs
        self.eyes = Eyes()
        self.hands = Hands()
        self.legs = Legs()
        self.memory = Memory()
        self.mouth = Mouth()
        # self.ears = Ears()
        self.wernicke_area = Wernicke_Area()

        # these coordinates tell the agent how far away the object is
        self.object_coordinates = None
        self.distance_from_object = 0
        self.current_position = 0

        self.path_course = []
        self.path_found = False
        self.next_node_coordinates = None

        # variables for A.I. behavior
        self.inspecting = False
        self.detected_objects = pygame.sprite.Group()

        self.current_behavior = BEHAVIOR_STATE.SCANNING
        self.pathfinder = Pathfinder()

    def act_out_decision(self):
        pass

    def check_distance_from_object(self):
        self.update_coordinates()
        self.distance_from_object = \
            abs(self.object_coordinates[0] - self.red_coordinate[0]) + abs(self.object_coordinates[1] - self.red_coordinate[1])

    def determine_behavior(self):
        if not self.detected_objects:
            self.current_behavior = BEHAVIOR_STATE.SCANNING
        elif self.inspecting:
            self.current_behavior = BEHAVIOR_STATE.INSPECTING
        elif self.detected_objects and not self.path_found:
            self.current_behavior = BEHAVIOR_STATE.PATH_FINDING
        elif self.path_found:
            self.current_behavior = BEHAVIOR_STATE.APPROACHING

    def determine_object_position(self):
        """"used to determine which direction the red player should turn to face object"""
        if self.red_coordinate[0] + MARGIN >= self.object_coordinates[
                0] >= MARGIN - self.red_coordinate[0]:
            # red player is above blue player
            if self.red_coordinate[1] < self.object_coordinates[1] - MARGIN:
                self.current_position = PilotCurrentPosition.ABOVE

            # red player is below blue player
            elif self.red_coordinate[1] > self.object_coordinates[1] + MARGIN:
                self.current_position = PilotCurrentPosition.BELOW
            # red player is right of blue
            elif self.red_coordinate[0] > self.object_coordinates[0]:
                self.current_position = PilotCurrentPosition.RIGHT
            # red player is left of blue
            elif self.red_coordinate[0] < self.object_coordinates[0]:
                self.current_position = PilotCurrentPosition.LEFT

    def find_next_node(self):
        """finds the closest node in our path and removes nodes once they are reached"""
        if not (1 <= abs(self.rect.centerx - self.next_node_coordinates[0]) or
                1 <= abs(self.rect.centery - self.next_node_coordinates[1])):
            self.path_course.pop(0)
            if self.path_course:
                self.next_node_coordinates = (self.path_course[0].x,
                                              self.path_course[0].y)

    def is_healthy(self):
        return self.hit_points > 50

    def make_decision(self):
        self.determine_behavior()
        if self.current_behavior == BEHAVIOR_STATE.SCANNING:
            self.legs.rotate()
            self.angle = self.ask("legs", "angle")
            self.eyes.scan_room()
            _thread.start_new_thread(self.mouth.speak, ("Scanning Room", ))
        elif self.current_behavior == BEHAVIOR_STATE.PATH_FINDING:
            self.path_course = self.pathfinder.find_path(
                self.object_coordinates)
            self.path_found = True
            self.next_node_coordinates = (self.path_course[0].x,
                                          self.path_course[0].y)
        elif self.current_behavior == BEHAVIOR_STATE.APPROACHING:
            if not self.path_course:
                self.path_found = False
                self.inspecting = True
                return
            self.find_next_node()
            self.move_to_next_node()
        elif self.current_behavior == BEHAVIOR_STATE.INSPECTING:
            if not self.mouth.inspection_message_spoken:
                self.mouth.stopSentence()
                _thread.start_new_thread(self.mouth.speak,
                                         ("Inspecting Object", ))
                self.mouth.inspection_message_spoken = True
            pass

    def move_to_next_node(self):
        """tells the bot which direction to move to reach the next node in its path"""
        if self.next_node_coordinates[0] < self.rect.centerx:
            self.bot.move(-2, 0)
        elif self.next_node_coordinates[0] > self.rect.centerx:
            self.bot.move(2, 0)

        # up and down
        if self.next_node_coordinates[1] < self.rect.centery:
            self.bot.move(0, -2)
        elif self.next_node_coordinates[1] > self.rect.centery:
            self.bot.move(0, 2)

    def rotate(self):
        self.angle += .5
        key = pygame.key.get_pressed()
        if key[pygame.K_LEFT]:
            self.angle += 4
        if key[pygame.K_RIGHT]:
            self.angle -= 4
        # self.angle += 2
        self.angle %= 360
        self.bot.angle_facing = self.angle
        self.bot.update_dx_dy()

        rect_center = self.bot.image.get_rect()
        self.bot.image = pygame.transform.rotozoom(self.original_image,
                                                   self.angle, 1)
        rot_rect = rect_center.copy()
        rot_rect.center = self.bot.image.get_rect().center
        self.bot.image = self.bot.image.subsurface(rot_rect).copy()

    def setup_bot_map(self):
        self.bot.wall_list = self.environment.get_object("wall_list")

    def shoot(self):
        if self.bot.reloaded():
            bullet_list = self.environment.get_object("bullet_list")
            if self.current_position == PilotCurrentPosition.LEFT:
                bullet_list.add(self.bot.shoot_right())
            elif self.current_position == PilotCurrentPosition.RIGHT:
                bullet_list.add(self.bot.shoot_left())
            elif self.current_position == PilotCurrentPosition.ABOVE:
                bullet_list.add(self.bot.shoot_down())
            elif self.current_position == PilotCurrentPosition.BELOW:
                bullet_list.add(self.bot.shoot_up())

    def update_coordinates(self):
        self.red_coordinate = (self.rect.x, self.rect.y)
        self.object_coordinates = self.ask("blue_player_pilot",
                                           "blue_coordinate")