[74] | 1 | import time
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| 2 | import numpy as np
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| 3 | from abc import abstractmethod
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| 4 |
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| 5 | from geniusweb.issuevalue.Bid import Bid
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| 6 | from geniusweb.profile.Profile import Profile
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| 7 | from geniusweb.progress.Progress import Progress
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| 8 |
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| 9 | from .utility import AgentUtility
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| 10 |
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| 11 |
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| 12 | class AbstractAcceptanceStrategy:
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| 13 | """
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| 14 | Abstract class enables us to efficiently test different acceptance strategies.
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| 15 | """
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| 16 |
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| 17 | def __init__(self, profile: Profile = None, progress: Progress = None, utility: AgentUtility = None):
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| 18 | self._profile = profile
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| 19 | self._progress = progress
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| 20 | self._utility = utility
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| 21 |
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| 22 | def set_profile(self, profile):
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| 23 | self._profile = profile
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| 24 |
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| 25 | def set_progress(self, progress):
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| 26 | self._progress = progress
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| 27 |
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| 28 | @abstractmethod
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| 29 | def accept(self, bid: Bid):
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| 30 | pass
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| 31 |
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| 32 |
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| 33 | class CombiAcceptanceStrategy(AbstractAcceptanceStrategy):
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| 34 | """
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| 35 | tested acceptance strategy, not the final one used, based on a combination of time based and if the bid is better than next.
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| 36 | """
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| 37 |
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| 38 | def accept(self, bid: Bid):
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| 39 | """
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| 40 | acceptance strategy based on combination of time and is bid better than next.
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| 41 | """
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| 42 | progress = self._progress.get(time.time() * 1000)
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| 43 | profile: Profile = self._profile.getProfile()
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| 44 | reservation_bid = profile.getReservationBid()
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| 45 | if reservation_bid is not None:
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| 46 | return (self._isGoodLastBidBetterThanNext(bid) or (progress > .8 and self._isGoodAdjustingConstant(bid))) \
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| 47 | and profile.isPreferredOrEqual(profile.getReservationBid(), bid)
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| 48 | else:
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| 49 | return self._isGoodLastBidBetterThanNext(bid) or (progress > .8 and self._isGoodAdjustingConstant(bid))
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| 50 |
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| 51 | def _isGoodLastBidBetterThanNext(self, bid: Bid):
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| 52 | """
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| 53 | checks if the incoming bid is better than our next bid.
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| 54 | """
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| 55 | if bid is None:
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| 56 | return False
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| 57 |
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| 58 | profile = self._profile.getProfile()
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| 59 | utilityBid = profile.getUtility(bid)
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| 60 | utilityNextBid = self._utility.get_last_own_bid_utility()
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| 61 | return utilityBid > utilityNextBid
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| 62 |
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| 63 | def _isGoodAdjustingConstant(self, bid: Bid):
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| 64 | """
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| 65 | Checks if the bid is good when compared to an adjusting constant, like the max utility of all received bids.
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| 66 | """
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| 67 | if bid is None:
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| 68 | return False
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| 69 | profile = self._profile.getProfile()
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| 70 | bidHistory, utilityHistory, bools = list(zip(*self._utility.get_bid_history()))
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| 71 | alpha = max(0.7, max(utilityHistory)) # can also be exchanged for average, base alpha can also be adjusted
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| 72 |
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| 73 | return profile.getUtility(bid) > alpha
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| 74 |
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| 75 |
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| 76 | class BetterThanOwnAcceptanceStrategy(AbstractAcceptanceStrategy):
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| 77 | """
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| 78 | Not used acceptance strategy based on whether the received bid has a better utility than the last bid we offered.
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| 79 | """
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| 80 |
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| 81 | def accept(self, bid: Bid):
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| 82 | if bid is None:
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| 83 | return False
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| 84 |
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| 85 | profile = self._profile.getProfile()
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| 86 | progress = self._progress.get(time.time() * 1000)
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| 87 |
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| 88 | max_util = self._last_made_bid_utility if hasattr(self, "_last_made_bid_utility") else 1
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| 89 | # very basic approach that accepts if the offer is valued above 0.6 and
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| 90 | # 80% of the rounds towards the deadline have passed
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| 91 | return profile.getUtility(bid) > max_util
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| 92 |
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| 93 |
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| 94 | class BetterThanEstimated(AbstractAcceptanceStrategy):
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| 95 | """
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| 96 | This is the acceptance strategy used, accepts a bid if the received bid offers a similar utility for both parties.
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| 97 | The max difference allowed increases as the negotiation progresses in order to avoid losing a deal.
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| 98 | """
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| 99 |
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| 100 | def __init__(self, fall_off_util=2, fall_off_difference=4, profile: Profile = None, progress: Progress = None,
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| 101 | utility: AgentUtility = None):
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| 102 | super(BetterThanEstimated, self).__init__(profile, progress, utility)
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| 103 | self.fall_off_util = fall_off_util
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| 104 | self.fall_off_difference = fall_off_difference
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| 105 |
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| 106 | def accept(self, bid: Bid):
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| 107 | """
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| 108 | Acceptance method that will compare the estimated opponent utility and our received utility, from there it will decide
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| 109 | to accept the bid based on the progress of the negotiation.
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| 110 | """
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| 111 | opponent_utility = self.get_utility(bid)
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| 112 | own_utility = self._profile.getProfile().getUtility(bid).__float__()
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| 113 | max_difference = (np.e ** -(1 - (self._progress.get(time.time() * 1000) ** 2))) / self.fall_off_difference
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| 114 |
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| 115 | reservation_bid = self._profile.getProfile().getReservationBid()
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| 116 | if reservation_bid is not None:
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| 117 | return (own_utility - opponent_utility) > -max_difference and (own_utility > (1 - max_difference * self.fall_off_util)) and \
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| 118 | self._profile.getProfile().isPreferredOrEqual(self._profile.getProfile().getReservationBid(), bid)
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| 119 |
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| 120 | else:
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| 121 | return (own_utility - opponent_utility) > -max_difference and (own_utility > (1 - max_difference * self.fall_off_util))
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| 122 |
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| 123 | def get_utility(self, bid):
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| 124 | """
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| 125 | Method to retrieve the estimated utility of the opponent.
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| 126 | """
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| 127 | opponent_issue_percentage = self._utility.get_opponent_issue_count()
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| 128 | opponent_issue_weights = self._utility.get_weight_heuristic()
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| 129 | return self._utility.rate_bid(bid, opponent_issue_percentage, opponent_issue_weights)
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