AdaptiveDiscreteAcceptanceModel

class negmas.models.acceptance.AdaptiveDiscreteAcceptanceModel(outcomes: Iterable[tuple], n_negotiators: int = 2, prob: float | list[float] = 0.5, end_prob=0.0, p_accept_after_reject=0.0, p_reject_after_accept=0.0, rejection_discount=0.98, rejection_delta=0.0, not_offering_rejection_ratio=0.75)[source]

Bases: DiscreteAcceptanceModel

Methods Summary

`acceptance_probabilities`()	Probability of acceptance for all outcomes
`from_negotiation`(nmi[, prob, end_prob, ...])
`probability_of_acceptance`(outcome)
`probability_of_acceptance_indx`(outcome_index)
`update_accepted`(outcome)
`update_offered`(outcome)
`update_offered_indx`(outcome_index)
`update_rejected`(outcome)
`update_rejected_indx`(outcome_index)

Methods Documentation

acceptance_probabilities()[source]: Probability of acceptance for all outcomes

classmethod from_negotiation(nmi: NegotiatorMechanismInterface, prob: float | list = 0.5, end_prob=0.0, p_accept_after_reject=0.0, p_reject_after_accept=0.0) → AdaptiveDiscreteAcceptanceModel[source]

probability_of_acceptance(outcome: tuple)

probability_of_acceptance_indx(outcome_index: int) → float[source]

update_accepted(outcome)

update_offered(outcome)

update_offered_indx(outcome_index: int)[source]

update_rejected(outcome: tuple)

update_rejected_indx(outcome_index: int)[source]