teamwork.multiagent.Team.Team

Class Team

object --+ | dict --+ | Multiagent.MultiagentSystem --+ | Team

Base class for representing a team of entities

Instance Methods

generateAllActions(self, seedAction={})
Generates all possible combined team actions consistent with the specified seed action (generates all possible combined team actions if seed action is left unspecified) source code

__generateAllActions(self, actList, agents)

source code

composeActions(self, actions)
Translates a dictionary of agent:action pairs into a single string

source code

decomposeActions(self, actionString)
Translates a string into a dictionary of agent:action pairs

source code

individualObs(self, state, actions, observation, agent)
Default method for returning the probability distribution over observations for an individual agent.

source code

observableProb(self, state, actions, observation, agent)
Handles the observation function for features that are completely observable.

source code

Inherited from Multiagent.MultiagentSystem: __init__, __str__, __xml__, addMember, getMember, initialize, members, parse, 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__

Properties

[hide private]

Inherited from object: __class__

individualObs(self, state, actions, observation, agent)

source code

Default method for returning the probability distribution over observations for an individual agent. Returns a uniform distribution. Should be overwritten.

observableProb(self, state, actions, observation, agent)

source code

Handles the observation function for features that are completely observable. If the observation does not match the true state on the completely observable features, then this function returns 0.0; otherwise, it returns 1.0