SAONMI

class negmas.sao.SAONMI(id: str, n_outcomes: int | float, outcome_space: OutcomeSpace, time_limit: float, pend: float, pend_per_second: float, step_time_limit: float, negotiator_time_limit: float, n_steps: int | None, dynamic_entry: bool, max_n_negotiators: int | None, _mechanism: Mechanism, annotation: dict[str, Any] = <class 'dict'>, end_on_no_response: bool = True, one_offer_per_step: bool = False)[source]

Bases: NegotiatorMechanismInterface

The NegotiatorMechanismInterface of SAO

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
`end_on_no_response`	End the negotiation if any agent responded with None
`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.
`extended_trace`	Returns the negotiation history as a list of step, negotiator, offer tuples
`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.
`offers`	Returns offers exchanged in order
`one_offer_per_step`	If true, a step should be atomic with only one action from one negotiator
`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.
`trace`	Returns the negotiation history as a list of negotiator, offer tuples

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.
`negotiator_offers`(negotiator_id)
`random_outcome`()	A single random outcome.
`random_outcomes`([n])	A set of random outcomes from the outcome-space of this negotiation
`values`()

Attributes Documentation

agent_ids: Gets the IDs of all agents owning all negotiators

agent_names: Gets the names of all agents owning all negotiators

annotation: dict[str, Any]: 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.

Remarks:

Useful for negotiators that only work with CartesianOutcomeSpace s (i.e. GeniusNegotiator )

dynamic_entry: bool: Whether it is allowed for negotiators to enter/leave the negotiation after it starts

end_on_no_response: bool: End the negotiation if any agent responded with None

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.

extended_trace: Returns the negotiation history as a list of step, negotiator, offer tuples

genius_negotiator_ids: Gets the Java IDs of all negotiators (if the negotiator is not a GeniusNegotiator, its normal ID is returned)

history

id: str: Mechanism session ID. That is unique for all mechanisms

issues

max_n_negotiators: int | None: Maximum allowed number of negotiators in the session. None indicates no limit

mechanism_id: Gets the ID of the mechanism

n_negotiators: Syntactic sugar for state.n_negotiators

n_outcomes: int | float: Number of outcomes which may be float('inf') indicating infinity

n_steps: int | None: The allowed number of steps for this negotiation. None indicates infinity

negotiator_ids: Gets the IDs of all negotiators

negotiator_time_limit: float: The time limit in seconds to wait for negotiator responses of this negotiation session. None indicates infinity

offers: Returns offers exchanged in order

one_offer_per_step: bool: If true, a step should be atomic with only one action from one negotiator

outcome_space: OutcomeSpace: Negotiation agenda as as an OutcomeSpace object. The most common type is CartesianOutcomeSpace which represents the cartesian product of a list of issues

outcomes: All outcomes for discrete outcome spaces or None for continuous outcome spaces. See discrete_outcomes

params: Returns the parameters used to initialize the mechanism.

participants

pend: float: The probability that the negotiation times out at every step. Must be less than one. If <= 0, it is ignored

pend_per_second: float: The probability that the negotiation times out every second. Must be less than one. If <= 0, it is ignored

requirements

The protocol requirements

Returns:

A dict of str/Any pairs giving the requirements

state

step_time_limit: float: The time limit in seconds for each step of ;this negotiation session. None indicates infinity

time_limit: float: The time limit in seconds for this negotiation session. None indicates infinity

trace: Returns the negotiation history as a list of negotiator, offer tuples

Methods Documentation

asdict(): Converts the object to a dict containing all fields

discrete_outcome_space(levels: int = 5, max_cardinality: int = 10000000000) → DiscreteOutcomeSpace: Returns a stable discrete version of the given outcome-space

discrete_outcomes(max_cardinality: int | float = inf) → Iterable[tuple]

A discrete set of outcomes that spans the outcome space

Parameters:: max_cardinality – The maximum number of outcomes to return. If None, all outcomes will be returned for discrete outcome-spaces
Returns:: list of n or less outcomes
Return type:: list[Outcome]

genius_id(id: str | None) → str | None: Gets the Genius ID corresponding to the given negotiator if known otherwise its normal ID

keys()

log_critical(nid: str, data: dict[str, Any]) → None: Logs at critical level

log_debug(nid: str, data: dict[str, Any]) → None: Logs at debug level

log_error(nid: str, data: dict[str, Any]) → None: Logs at error level

log_info(nid: str, data: dict[str, Any]) → None: Logs at info level

log_warning(nid: str, data: dict[str, Any]) → None: Logs at warning level

negotiator_index(source: str) → int: Returns the negotiator index for the given negotiator. Raises an exception if not found

negotiator_offers(negotiator_id: str) → list[Outcome][source]

random_outcome() → tuple: A single random outcome.

random_outcomes(n: int = 1) → list[tuple]

A set of random outcomes from the outcome-space of this negotiation

Parameters:: n – number of outcomes requested
Returns:: list of n or less outcomes
Return type:: list[Outcome]

values()