Package teamwork :: Package multiagent :: Module sequential :: Class SequentialAgents

Class SequentialAgents

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

Known Subclasses:

examples.Thespian.ThespianAgents.ThespianAgents

A utility class that supports sequential turns by a group of agents. The order is determined by the ordering methods on the component agent classes.

Warning: sequentiality is required, so don't try having multiple agents act at the same time.

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

Inherited from 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]

Inherited from PsychAgents.PsychAgents: __VERIFY__, observationDecay, threaded

Inherited from Simulation.MultiagentSimulation: threshold, turnFeature

Instance Variables

[hide private]

Inherited from Simulation.MultiagentSimulation: order, time

Inherited from 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 (teamwork.agent.Agent.Agent[]) - 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: 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: Simulation.MultiagentSimulation.createTurnDynamics