teamwork.agent.Agent.Agent

Class Agent

Top-level agent class

Nested Classes

[hide private]

Action subclass (default is action)

actionClass
the Python class for this agent's option instances

Instance Methods

[hide private]

__init__(self, name='Generic Agent') source code

setName(self, name)
Sets the name of this agent

source code

legalActions(self, state)
Default method for specifying the set (i.e., list) of actions that this agent can choose from in the given state

source code

legalMessages(self, state)
Default method for specifying the set (i.e., list) of messages that this agent can choose from in the given state

source code

generateAllObservations(self)

source code

generateHistories(self, length)

source code

initialStateEstimator(self)
Generates the initial belief state for the specified agent

source code

preComStateEstimator(self, beliefs, obs, epoch=-1)
Updates the agent's beliefs based on its observations

source code

postComStateEstimator(self, beliefs, msgs, epoch=-1)
Updates the agent's beliefs based on received messages

source code

bool

observable(self)
Returns: True iff this agent has perfect observability of all actions source code

__cmp__(self, agent)
Default comparison function...treats all agents equally

source code

__copy__(self)

source code

__xml__(self)

source code

parse(self, element)

source code

Instance Variables

[hide private]

DecisionSpace

actions
the space of possible actions this agent can perform

string

name
the unique label for this agent

omega
set of possible observations

init(self, name=`'Generic Agent'`)
(Constructor)

source code

Parameters:

name (str) - a label string

setName(self, name)

source code

Sets the name of this agent

Parameters:

name (str) - the unique ID for this agent

observable(self)

source code

Returns: bool: True iff this agent has perfect observability of all actions

Warning: This is a superficial check that the observation function specifies True for all action combinations. It will return False if there are branches, non-True leaf nodes, even if the end result is equivalent to perfect observability

Class Agent

__init__(self, name='Generic Agent') (Constructor)

setName(self, name)

observable(self)

init(self, name=`'Generic Agent'`)
(Constructor)