def parseGoal(self, txt):
if not txt.endswith(")"):
print "Error reading goal. Goal must be given in the form: predicate(arg1, arg2,...,argi-1,argi), where each argument is the name of an object in the world"
return None
try:
if txt.startswith('!'):
negate = True
txt = txt[1:]
else:
negate = False
predicateName = txt[:txt.index("(")]
args = [
arg.strip() for arg in txt[txt.index("(") + 1:-1].split(",")
]
#use on-table predicate
if predicateName == 'on' and len(args) == 2 and 'table' == args[1]:
predicateName = 'on-table'
args = args[:1]
if negate:
goal = goals.Goal(*args, predicate=predicateName, negate=True)
else:
goal = goals.Goal(*args, predicate=predicateName)
return goal
except Exception:
print "Error reading goal. Goal must be given in the form: predicate(arg1, arg2,...,argi-1,argi), where each argument is the name of an object in the world"
return None
def run(self, cycle, verbose=2):
if self.deliveringGoalsExist():
if verbose >= 2:
print "MIDCA already has a delivering goal. Skipping delivering goal generation"
return
if self.alreadygenerated():
if verbose >= 2:
print "MIDCA already generated the goals for this problem"
return
#if obj-at(p,l) is in the state, it means it needs to be delivered!
world = self.mem.get(self.mem.STATES)[-1]
orders = deliverstate.get_order_list(world)
#\ goal = self.tree.givegoal(blocks)
for order in orders:
goal = goals.Goal(order.id,
order.destination,
order.location,
predicate="obj-at")
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if goal:
if verbose >= 2:
print "goal generated:", goal
##call monitors
m = Monitor(self.mem, "m" + order.id, order.id, goal)
# Thread(target=m.goalmonitor, args=[order.id, order.location, "obj-at"]).start()
self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
def run(self, cycle, verbose = 2):
try:
text = self.readS.recv(self.readSize)
if text != "None\n":
p = Parser()
frames = p.makeframegraph(text)
noem = {} # Node Operator Effect Mapping
noem['CRIMINAL-VOLITIONAL-AGENT.4697'] = [['apprehend', OPERATOR_EFFECT_NEGATION]]
t = Traverser(frames, noem)
(frame, operator, effect) = t.traverse()
if operator == "apprehend":
apprehendGoal = goals.Goal("Gui Montag", predicate = "free",
negate = True)
inserted = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
print "Meta-AQUA goal generated:", goal,
if inserted:
print
else:
print ". This goal was already in the graph."
else:
if verbose >= 2:
print "Meta-AQUA output unrecognized. No goal generated. Output:\n",
text
except socket.timeout:
if verbose >= 1:
print "Error: no data received from Meta-AQUA before timeout."
except:
if verbose >= 1:
print "Error reading from Meta-AQUA.",
try:
print " Got:\n" + text
except NameError:
print " Unable to read from socket."
def run(self, cycle, verbose = 2):
arsonist = self.free_arsonist()
if arsonist and self.is_fire():
goal = goals.Goal(arsonist, predicate = "free", negate = True)
inserted = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
print "Meta-AQUA simulation goal generated:", goal,
if inserted:
print
else:
print ". This goal was already in the graph."
def parseGoal(self, txt):
if not txt.endswith(")"):
print "Error reading input. Atom must be given in the form: predicate(arg1, arg2,...,argi-1,argi), where each argument is the name of an object in the world"
return None
try:
predicateName = txt[:txt.index("(")]
args = [
arg.strip() for arg in txt[txt.index("(") + 1:-1].split(",")
]
goal = goals.Goal(*args, predicate=predicateName)
return goal
except Exception:
print "Error reading input. Atom must be given in the form: predicate(arg1, arg2,...,argi-1,argi), where each argument is the name of an object in the world"
return None
def run(self, cycle, verbose=2):
trace = self.mem.trace
if trace:
trace.add_module(cycle, self.__class__.__name__)
self.verbose = verbose
# get discrepancies
discrep = self.mem.get(self.mem.DISCREPANCY)
# if discrepancy, get explanation
if discrep and (len(discrep[0]) > 0 or len(discrep[1]) > 0):
# first remove old
# go ahead and remove old plans for any goals the agent has
# refresh the goals to trigger replanning
goalgraph = self.mem.get(self.mem.GOAL_GRAPH)
curr_goals = self.mem.get(self.mem.CURRENT_GOALS)
if type(curr_goals) is not list:
curr_goals = [curr_goals]
for goal in curr_goals:
# get any plans associated with this goal, and remove them
plan = goalgraph.getMatchingPlan([goal])
if plan:
goalgraph.removePlan(plan)
if self.verbose >= 1:
print "Just removed a plan for goal " + str(goal)
#print "aware of actual discrepancy, retrieving explanation"
explain_exists = self.mem.get(self.mem.EXPLANATION)
explanation = self.mem.get(self.mem.EXPLANATION_VAL)
if explain_exists:
# now do stuff based on explanation
if 'stuck' in explanation:
# remove current goal from goal graph
# insert goal to become free
# The priority will automatically be shifted to
goalgraph = self.mem.get(self.mem.GOAL_GRAPH)
free_goal = goals.Goal('Curiosity', predicate="free")
goalgraph.insert(free_goal)
if self.verbose >= 1:
print "Just inserted goal " + str(free_goal)
return
else: #if 'wind' in explanation:
# do nothing for other explanations, this will just lead to replanning
return
else:
if self.verbose >= 1:
print "No explanation, old plans removed, but no goal management actions"
return
def generate_new_goals(self):
if self.currGoalIndex < len(self.goalList):
curr_goal = self.goalList[self.currGoalIndex]
#if self.verbose >= 1: print "inserting goal "+str(curr_goal)
self.currGoalIndex += 1
return [curr_goal]
if self.currGoalIndex == len(self.goalList):
print "No more goals..."
self.currGoalIndex += 1
return []
# this is a safety check to make sure experiments are running correctly.
# if running manual (like running from examples/nbeacons...agentx.py remove this line
raise Exception(
"randomly inserting goals, shouldn't be here when running from nbeacons_experiment_1.py"
)
world = self.mem.get(self.mem.STATES)[-1]
goal_b_ids = []
# get all beacon ids
unactivated_b_ids = []
for obj in world.get_possible_objects("", ""):
# test if a beacon id
if str(obj).startswith("B"):
# now test to see if it's activated
if not world.is_true('activated', [str(obj)]):
unactivated_b_ids.append(str(obj))
if len(unactivated_b_ids) == 0:
if self.verbose >= 1:
print(
"All beacons are activated. No activation goals will be generated."
)
return []
num_chosen_beacons = 0
while len(unactivated_b_ids
) > 0 and num_chosen_beacons < self.numbeacons:
b = random.choice(unactivated_b_ids)
unactivated_b_ids.remove(b)
goal_b_ids.append(b)
num_chosen_beacons += 1
# turn into goals
new_goals = map(lambda x: goals.Goal(str(x), predicate="activated"),
goal_b_ids)
return new_goals
class SimpleMortarGoalGen(base.BaseModule):
'''
MIDCA module that cycles through goals for the agent to achieve.
'''
curr_goal_index = 0
curr_goal_sets = [[
goals.Goal(*['A_', 'B_'], predicate='stable-on'),
goals.Goal(*['C_', 'A_'], predicate='stable-on'),
goals.Goal(*['D_', 'C_'], predicate='stable-on')
],
[
goals.Goal(*['D_', 'B_'], predicate='stable-on'),
goals.Goal(*['B_', 'A_'], predicate='stable-on'),
goals.Goal(*['A_', 'C_'], predicate='stable-on')
]]
# starting state: on(D,B), on(B,A), ontable(A) ontable(C)
# first goal: on(C,B)
# second goal
def next_goal(self):
# get the next goal
curr_goal_set = self.curr_goal_sets[self.curr_goal_index]
# update index for next time around
if self.curr_goal_index == len(self.curr_goal_sets) - 1:
self.curr_goal_index = 0
else:
self.curr_goal_index += 1
return curr_goal_set
def run(self, cycle, verbose=2):
trace = self.mem.trace
if trace:
trace.add_module(cycle, self.__class__.__name__)
# first, check to see if we need a new goal, and only then insert a new one
if len(self.mem.get(self.mem.GOAL_GRAPH).getAllGoals()) == 0:
# get the next goal
goal_set = self.next_goal()
# insert that goal
for g in goal_set:
self.mem.get(self.mem.GOAL_GRAPH).insert(g)
# update trace
if trace:
trace.add_data("NEXT GOAL(s)", goal_set)
trace.add_data("GOAL GRAPH",
copy.deepcopy(self.mem.GOAL_GRAPH))
else:
if trace:
trace.add_data("NEXT GOAL", 'goals not empty; no goal chosen')
trace.add_data("GOAL GRAPH",
copy.deepcopy(self.mem.GOAL_GRAPH))
def run(self, cycle, verbose = 2):
world = self.mem.get(self.mem.STATE)
i = len(world.utterances)
while i > 0:
if self.lastTime - world.utterances[i - 1].time > 0:
break
i -= 1
newUtterances = [utterance.utterance for utterance in world.utterances[i:]]
#now add goals based on new utterances
for utterance in newUtterances:
if verbose >= 2:
print "received utterance:", utterance
if utterance == "point to the quad" or utterance == "point at max":
goal = goals.Goal(objective = "show-loc", subject = "self",
directObject = "quad", indirectObject = "observer")
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(goal), "but it is already in the \
goal graph"
self.lastTime = midcatime.now()
from MIDCA.modules import simulator, guide, evaluate, perceive, intend, planning, act, note, assess
from MIDCA.worldsim import domainread, stateread
import inspect, os
import random
# Domain Specific Imports
from MIDCA.domains.nbeacons import nbeacons_util
from MIDCA.domains.nbeacons.plan import methods_nbeacons, operators_nbeacons
'''
Simulation of the NBEACONS domain (adapted from marsworld in [Dannenhauer and Munoz-Avila 2015]).
THIS IS THE START SCRIPT FOR THE VANILLA AGENT (no gda, no meta)
'''
wind_schedule = [[20, 1], [40, 2]]
goal_list = range(10) * 10 # give 100 goals
random.shuffle(goal_list)
goal_list = map(lambda x: goals.Goal('B' + str(x), predicate="activated"),
goal_list)
print "goal list is "
for g in goal_list:
print " " + str(g)
# Setup
thisDir = os.path.dirname(
os.path.abspath(inspect.getfile(inspect.currentframe())))
MIDCA_ROOT = thisDir + "/../"
### Domain Specific Variables
DOMAIN_ROOT = MIDCA_ROOT + "domains/nbeacons/"
DOMAIN_FILE = DOMAIN_ROOT + "domains/nbeacons.sim"
#STATE_FILE = DOMAIN_ROOT + "states/.sim" # state file is generated dynamically
DISPLAY_FUNC = nbeacons_util.drawNBeaconsScene
def runexperiment():
# reset in case we run multiple experiments
DATADIR = "experiments/nbeacons-experiment-1-data/"
NOW_STR = datetime.datetime.strftime(datetime.datetime.now(),
'%Y-%m-%d--%H-%M-%S')
DATA_FILENAME = DATADIR + "NBeaconsExperiment1" + NOW_STR + ".csv"
DATA_FILE_HEADER_STR = "runID,numCycles,agentType,windDir,windStrength,goalsActionsAchieved\n"
SCENARIO_FILENAME = DATADIR + "NBeaconsScenario" + NOW_STR + ".txt"
runs = []
# generate goals randomly, such that no goal is repeated twice
num_goals = 1000
goal_list = []
i = 0
possible_goals = range(10)
last_chosen_goal = -1
while i < num_goals:
if last_chosen_goal == -1:
curr_goal = random.choice(possible_goals)
goal_list.append(curr_goal)
last_chosen_goal = curr_goal
else:
tmp_possible_goals = set(possible_goals) - set([last_chosen_goal])
curr_goal = random.sample(tmp_possible_goals, 1)[0]
goal_list.append(curr_goal)
last_chosen_goal = curr_goal
i += 1
goal_list = map(lambda x: goals.Goal('B' + str(x), predicate="activated"),
goal_list)
#print("goal list is ")
#for g in goal_list:
# print(" "+str(g))
state1 = nbeacons_util.NBeaconGrid()
#state1.generate_good_test()
state1.generate(width=DIMENSION,
height=DIMENSION,
num_beacons=NUM_BEACONS,
num_quicksand_spots=NUM_QUICKSAND)
state1_str = state1.get_STRIPS_str()
# args are [runID, agentType, windDir, windStrength, startingState, goalList]
individual_runs = [
# no wind, same starting state, same starting goals
[0, 'v', 'east', 0, state1_str, goal_list],
[1, 'g', 'east', 0, state1_str, goal_list],
[2, 'm', 'east', 0, state1_str, goal_list],
]
runs = individual_runs
# Uses multiprocessing to give each run its own python process
print("-- Starting experiment using " + str(NUM_PROCESSES) +
" processes...")
t0 = time.time()
# **** NOTE: it is very important chunksize is 1 and maxtasksperchild is 1
# **** (each MIDCA must use its own python process)
pool = Pool(processes=NUM_PROCESSES, maxtasksperchild=1)
results = pool.map(singlerun, runs, chunksize=1)
t1 = time.time()
timestr = '%.2f' % (t1 - t0)
print("-- Experiment finished! Took " + timestr + "s, generated " +
str(len(results)) + " data points")
print("-- Writing data to file...")
f = open(DATA_FILENAME, 'w')
f.write(DATA_FILE_HEADER_STR)
for r in results:
f.write(r)
print("-- Data written to file " + str(DATA_FILENAME))
print("-- Experiment complete!")
# if you have pyttsx installed, a voice will tell you your experiments are finished
try:
import pyttsx
engine = pyttsx.init()
engine.setProperty('rate', 70)
engine.say('Your experiments are have finished running')
engine.runAndWait()
except:
pass # do nothing
def run(self, cycle, verbose=2):
world = self.mem.get(self.mem.STATE)
i = len(world.utterances)
while i > 0:
if self.lastTime - world.utterances[i - 1].time > 0:
break
i -= 1
newUtterances = [
utterance.utterance for utterance in world.utterances[i:]
]
#now add goals based on new utterances
for utterance in newUtterances:
if verbose >= 2:
print "received utterance:", utterance
if utterance == "point to the quad" or utterance == "goodbye baxter":
goal = goals.Goal(objective="show-loc",
subject="self",
directObject="quad",
indirectObject="observer")
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "get the red block":
goal = goals.Goal(objective="holding",
subject="self",
directObject="red block",
indirectObject="observer",
pos='red block:arm')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "get the green block":
goal = goals.Goal(objective="holding",
subject="self",
directObject="green block",
indirectObject="observer",
pos='green block:arm')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "get the blue block":
goal = goals.Goal(objective="holding",
subject="self",
directObject="blue block",
indirectObject="observer",
pos='blue block:arm')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "put the green block on table":
goal = goals.Goal(objective="moving",
subject="self",
directObject="green block",
indirectObject="observer",
pos='green block:table')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "put the blue block on table":
goal = goals.Goal(objective="moving",
subject="self",
directObject="blue block",
indirectObject="observer",
pos='blue block:table')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "put the red block on table":
goal = goals.Goal(objective="moving",
subject="self",
directObject="red block",
indirectObject="observer",
pos='red block:table')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "stack the green block on the red block":
goal = goals.Goal(objective="stacking",
subject="self",
directObject="red block",
indirectObject="observer",
pos='green block:red block')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "stack the blue block on the red block":
goal = goals.Goal(objective="stacking",
subject="self",
directObject="red block",
indirectObject="observer",
pos='blue block:red block')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "stack the blue block on the green block":
goal = goals.Goal(objective="stacking",
subject="self",
directObject="green block",
indirectObject="observer",
pos='blue block:green block')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "stack the red block on the blue block":
goal = goals.Goal(objective="stacking",
subject="self",
directObject="blue block",
indirectObject="observer",
pos='red block:blue block')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "stack the green block on the blue block":
goal = goals.Goal(objective="stacking",
subject="self",
directObject="blue block",
indirectObject="observer",
pos='green block:blue block')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \ goal graph"
if utterance == "stack the red block on the green block":
goal = goals.Goal(objective="stacking",
subject="self",
directObject="green block",
indirectObject="observer",
pos='red block:green block')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
if utterance == "stack":
goal = goals.Goal(objective="stacking",
subject="self",
directObject="green block",
indirectObject="observer",
pos='red block:green block')
added = self.mem.get(self.mem.GOAL_GRAPH).insert(goal)
if verbose >= 2:
if added:
print "adding goal:", str(goal)
else:
print "generated goal:", str(
goal), "but it is already in the \
goal graph"
# else:
# print "message is unknown"
self.lastTime = midcatime.now()
def act(self, action, verbose=2):
# TODO: figure out a way to make the init_args more general (so actions can be kept separate)
if action[0] == "REMOVE-MODULE":
# find the component
module_index = -1
phase = None
mod_str = ""
class Found(Exception):
pass # is this bad python? should this go at top of my file?
try:
for phasei in self.mem.myMidca.get_phases():
i = 0
for mod in self.mem.myMidca.get_modules(phasei):
mod_str = str(mod.__class__.__name__)
print("-*-*- act(): mod = " + mod_str +
", action[1] = " + str(action[1]))
if mod_str == action[1]:
print("-*-*- act(): we got a match!")
module_index = i
phase = phasei
raise Found
i += 1
except Found:
# remove the component
#print("-*-*- act(): phase = "+str(phase)+", module_index = "+str(module_index))
if phase and module_index > -1:
mod = self.mem.myMidca.remove_module(phase, module_index)
print "mod is " + str(mod)
self.prev_init_args = mod.get_init_args(
) # TODO: only works for modules implementing get_init_args
print "got init args: " + str(self.prev_init_args)
is_success = mod_str not in map(
lambda x: x.__class__.__name__,
self.mem.myMidca.get_modules(phase))
if is_success:
print(" Metareasoner removed " + mod_str
) # report any actions metareasoner carried out
return is_success
elif action[0] == "ADD-MODULE":
if action[2] == "PyHopPlanner":
#print("current directory: "+str(os.getcwd()))
#print("str(dir(modules)) = "+str(dir(modules)))
planningModuleInstance = importlib.import_module(
"MIDCA.modules.planning")
print("loaded planning module, it has following attributes: " +
str(dir(planningModuleInstance)))
# get the args used to init the old module and use them to init this one
print "init args is " + str(self.prev_init_args)
# **** BEGIN: MAGIC! Transform the args *****
# This is where the real magic happens
# Hardcoded for now
# Very Important TODO but likely requires serious research effort
from MIDCA.domains.blocksworld.plan import methods
working_methods = methods.declare_methods
corrected_args = self.prev_init_args
hardcoded_index_of_methods_arg = 2 # TODO: I know, so hacky, ahhh magic numbers
corrected_args[2] = working_methods
# **** END: MAGIC! Transform the args *****
pyHopPlannerInstance = planningModuleInstance.PyHopPlanner(
*corrected_args)
self.mem.myMidca.runtime_append_module(
"Plan", pyHopPlannerInstance
) # TODO: hardcoded knowledge of Plan phase
is_success = "PyHopPlanner" in map(
lambda x: x.__class__.__name__,
self.mem.myMidca.get_modules("Plan"))
if is_success:
print(" Metareasoner added PyHopPlanner"
) # report any actions metareasoner carried out
return is_success
elif action[0] == "TRANSFORM-GOAL":
# really: its going to have this meta plan by changing the things in orange -
# you don't monitor and look at the trace to see if the goal transformation achieved something
# at the ground level, so then meta-evaluate can know if the metagoal succeeded. What if I made the
# wrong transformation?
# specific to mortar and blocks world, not general
# get the highest blocks
goal_atoms = action[1]
goal_args = map(lambda x: x.get_args(), goal_atoms)
# figure out how much mortar we have using the world state
num_available_mortar = 0
for atom in map(str,
self.mem.get("__world states")[-1].get_atoms()):
if 'available(' in atom:
num_available_mortar += 1
if verbose >= 3:
print("found available mortar: " + str(atom))
# transform 'stable-on' to 'on' predicates ensuring there is enough mortar for each
bottom_blks = []
top_blks = []
for a_tpl in goal_args:
bottom_blks.append(a_tpl[1])
top_blks.append(a_tpl[0])
bottommost_blk = [b for b in bottom_blks if b not in top_blks][0]
transformed_goal_atoms = []
# transform goal atoms
curr_bottom_blk = bottommost_blk
while curr_bottom_blk in bottom_blks:
i = bottom_blks.index(curr_bottom_blk)
top_blks[i]
if num_available_mortar > 0:
transformed_goal_atoms.append("stable-on," + top_blks[i] +
"," + curr_bottom_blk)
num_available_mortar -= 1
else:
transformed_goal_atoms.append("on," + top_blks[i] + "," +
curr_bottom_blk)
curr_bottom_blk = top_blks[i]
# now make actual MIDCA goal objects
transformed_goals = []
for atom_str in transformed_goal_atoms:
vals = atom_str.split(",")
transformed_goals.append(
goals.Goal(*[vals[1], vals[2]], predicate=vals[0]))
goalGraph = self.mem.get(self.mem.GOAL_GRAPH)
# do removal first
for g in goal_atoms:
goalGraph.remove(g)
if verbose >= 2:
# now display success statement
print("Removed from the goal graph the previous goal:")
for g in goal_atoms:
print(" " + str(g))
# now display transformed goal
if verbose >= 2:
print("Goal has been transformed to:")
for g in transformed_goals:
print(" " + str(g))
# now insert the new goal
for g in transformed_goals:
goalGraph.insert(g)
if verbose >= 2:
print("Transformed goal has been inserted into goal graph.")
return True
