Package teamwork :: Package examples :: Package Thespian :: Module ThespianAgents :: Class ThespianAgents

Class ThespianAgents

                        object --+                    
                                 |                    
                              dict --+                
                                     |                
multiagent.Multiagent.MultiagentSystem --+            
                                         |            
multiagent.Simulation.MultiagentSimulation --+        
                                             |        
            multiagent.PsychAgents.PsychAgents --+    
                                                 |    
            multiagent.sequential.SequentialAgents --+
                                                     |
                                                    ThespianAgents

Instance Methods

[hide private]

KeyedVector

generateOrder(self, entities=None)
Creates a new order vector.

source code

KeyedTree

createTurnDynamics(self, actions)
Computes the change in turn due to the specified actions

source code

Inherited from multiagent.PsychAgents.PsychAgents: __copy__, __deepcopy__, __init__, __xml__, addMember, applyChanges, applyDefaults, applyOrder, compileDynamics, compilePolicy, detectViolations, explainAction, explainDecision, explainEffect, explainExpectation, explainMessage, generateWorlds, getActionDynamics, getActions, getDynamics, getDynamicsMatrix, getMember, getStateDynamics, hypotheticalAct, individualObs, initialize, microstep, parse, performAct, performMsg, reachable, setModelChange, suggest, suggestAll, toHTML, updateAll, verifyTree

Inherited from multiagent.Simulation.MultiagentSimulation: actionCount, activeMembers, actorCount, applyTurn, deleteState, generateActions, getSequence, getState, getStateKeys, initializeOrder, next, updateTurn

Inherited from multiagent.Multiagent.MultiagentSystem: __str__, members, save

Inherited from dict: __cmp__, __contains__, __delitem__, __eq__, __ge__, __getattribute__, __getitem__, __gt__, __hash__, __iter__, __le__, __len__, __lt__, __ne__, __new__, __repr__, __setitem__, clear, copy, fromkeys, get, has_key, items, iteritems, iterkeys, itervalues, keys, pop, popitem, setdefault, update, values

Inherited from object: __delattr__, __reduce__, __reduce_ex__, __setattr__

Class Variables

[hide private]

sceneID = 6

Inherited from multiagent.PsychAgents.PsychAgents: __VERIFY__, observationDecay, threaded

Inherited from multiagent.Simulation.MultiagentSimulation: threshold, turnFeature

Instance Variables

[hide private]

Inherited from multiagent.Simulation.MultiagentSimulation: order, time

Inherited from multiagent.Simulation.MultiagentSimulation (private): _turnDynamics

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

generateOrder(self, entities=None)

source code

Creates a new order vector. Orders the agents according to the comparison method on the member agents

Parameters:

entities - the ordered list of entities to use (if omitted, defaults to the sorted list of active members)

Returns: KeyedVector

the turn state vector suitable for the initial state of the simulation

Overrides: multiagent.Simulation.MultiagentSimulation.generateOrder

createTurnDynamics(self, actions)

source code

Computes the change in turn due to the specified actions

Parameters:

actions (dict:str→teamwork.action.PsychActions.Action[]) - the actions being performed, indexed by actor name

Returns: KeyedTree

a decision tree representing the changes to the standing turn order vector based on the specified actions

Overrides: multiagent.Simulation.MultiagentSimulation.createTurnDynamics