AgentMechanismInterface

negmas.common.AgentMechanismInterface

A depricated alias for NegotiatorMechanismInterface

Attributes Summary

agent_ids	Gets the IDs of all agents owning all negotiators
agent_names	Gets the names of all agents owning all negotiators
annotation	An arbitrary annotation as a dict[str, Any] that is always available for all negotiators
atomic_steps
cartesian_outcome_space	Returns the outcome_space as a CartesianOutcomeSpace or raises a ValueError if that was not possible.
dynamic_entry	Whether it is allowed for negotiators to enter/leave the negotiation after it starts
estimated_n_steps	Return an estimate of the number of steps for this negotiation.
estimated_time_limit	Return an estimate of the number of seconds for this negotiation.
genius_negotiator_ids	Gets the Java IDs of all negotiators (if the negotiator is not a GeniusNegotiator, its normal ID is returned)
history
id	Mechanism session ID.
issues
max_n_negotiators	Maximum allowed number of negotiators in the session.
mechanism_id	Gets the ID of the mechanism
n_negotiators	Syntactic sugar for state.n_negotiators
n_outcomes	Number of outcomes which may be float('inf') indicating infinity
n_steps	The allowed number of steps for this negotiation.
negotiator_ids	Gets the IDs of all negotiators
negotiator_time_limit	The time limit in seconds to wait for negotiator responses of this negotiation session.
outcome_space	Negotiation agenda as as an OutcomeSpace object.
outcomes	All outcomes for discrete outcome spaces or None for continuous outcome spaces.
params	Returns the parameters used to initialize the mechanism.
participants
pend	The probability that the negotiation times out at every step.
pend_per_second	The probability that the negotiation times out every second.
requirements	The protocol requirements
state	Access the current state of the mechanism.
step_time_limit	The time limit in seconds for each step of ;this negotiation session.
time_limit	The time limit in seconds for this negotiation session.

Methods Summary

asdict()	Converts the object to a dict containing all fields
discrete_outcome_space([levels, max_cardinality])	Returns a stable discrete version of the given outcome-space
discrete_outcomes([max_cardinality])	A discrete set of outcomes that spans the outcome space
genius_id(id)	Gets the Genius ID corresponding to the given negotiator if known otherwise its normal ID
keys()
log_critical(nid, data)	Logs at critical level
log_debug(nid, data)	Logs at debug level
log_error(nid, data)	Logs at error level
log_info(nid, data)	Logs at info level
log_warning(nid, data)	Logs at warning level
negotiator_index(source)	Returns the negotiator index for the given negotiator.
random_outcome()	A single random outcome.
random_outcomes([n])	A set of random outcomes from the outcome-space of this negotiation
values()

Attributes Documentation

Methods Documentation