class Agent:
def __init__( self ):
# [rps] agents each have their own worldstate
# agents will have to communicate with each other to share worldstate
self.planner = GOAP( self )
self.goals = []
heapq.heapify( self.goals )
self.actions = []
self.worldstate = {}
def addAction( self, newAction ):
# [rps] newAction must be a clone!!
# [rps] must call this method when building agent in memory
# becuase it sets the action's neighbors to actions that
# this agent has
for action in self.actions:
if newAction.satisfies( action ):
action.chain.append( newAction )
if action.satisfies( newAction ):
newAction.chain.append( action )
self.actions.append( newAction )
def worldstateSatisfies( self, actionOrGoal ):
# [rps] this returns true if an action or goal can be completed in agent's current state
# [rps] since the target state has to completely match current worldstate
# this will return false the first time it comes across an inconsistency
targetState = actionOrGoal.getTargetState()
# [rps] just return true if the target state is nothing
# saves the planner from going through the entire agent's worldstate for no reason
if not len( targetState ):
return True
for tsKey, tsValue in targetState.iteritems():
if tsKey in self.worldstate:
if self.worldstate[ tsKey ] is not tsValue:
return False
else:
if tsValue is not False:
return False
return True
def formulate( self ):
self.planner.formulate()
def __init__( self ):
# [rps] agents each have their own worldstate
# agents will have to communicate with each other to share worldstate
self.planner = GOAP( self )
self.goals = []
heapq.heapify( self.goals )
self.actions = []
self.worldstate = {}