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clusterSpace(self,
granularity,
weightList=None,
debug=None,
finish=None,
interrupt=None) |
source code
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freezeModels(self)
Lock the model of this agent and all mental models it may have |
source code
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(dict:teamwork.reward.MinMaxGoal.MinMaxGoal→float)[]
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generateSpace(self,
granularity=10,
goals=None,
weightList=None,
availableWeight=1.0)
Generates a space of possible goal weights for this agent |
source code
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parse(self,
element)
Extracts this agent's recursive belief structure from the given XML
Element |
source code
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reachable(self,
weightList,
granularity,
neighbors=None) |
source code
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setModel(self,
model,
fixed=False)
Applies the named mental model to this entity |
source code
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updateModel(self,
actual,
debug=Debugger (0))
Updates the mental model in response to the single action |
source code
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updateModels(self,
actions,
debug)
Updates the mental models in response to the given dictionary of
actions |
source code
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Inherited from GoalBased.GoalBasedAgent :
actionValue ,
applyGoals ,
expectedValue ,
fit ,
generateConstraints ,
getGoalTree ,
getGoalVector ,
getGoalWeight ,
getGoals ,
getNormalization ,
normalizeGoals ,
setGoalWeight ,
setGoals
Inherited from RecursiveAgent.RecursiveAgent :
__deepcopy__ ,
__eq__ ,
__getitem__ ,
__ne__ ,
ancestry ,
applyChanges ,
applyPolicy ,
beliefDepth ,
findObservation ,
freeze ,
getActionKeys ,
getAllBeliefs ,
getBelief ,
getBeliefKeys ,
getDynamics ,
getEntities ,
getEntity ,
getEntityBeliefs ,
getNestedBelief ,
getObservation ,
getObservations ,
getSelfBelief ,
getState ,
getStateFeatures ,
hasBelief ,
incorporateMessage ,
initialStateEstimator ,
invalidateCache ,
multistep ,
observe ,
preComStateEstimator ,
resetHistory ,
saveObservations ,
setBelief ,
setEntity ,
setName ,
setObservation ,
setRecursiveBelief ,
setSelfBelief ,
setState ,
stateEstimator ,
step ,
toHTML ,
updateStateDict
Inherited from Agent.Agent :
__cmp__ ,
generateAllObservations ,
generateHistories ,
legalActions ,
legalMessages ,
observable ,
postComStateEstimator
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