[298] | 1 | package onetomany.bargainingchipsgame.players;
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| 2 |
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| 3 | import static java.lang.Math.pow;
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| 4 |
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| 5 | import java.util.concurrent.BlockingQueue;
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| 6 |
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| 7 | import genius.core.protocol.MultilateralProtocol;
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| 8 | import onetomany.bargainingchipsgame.Bundle;
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| 9 | import onetomany.bargainingchipsgame.OutcomeSpace;
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| 10 | import onetomany.bargainingchipsgame.interactions.Accept;
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| 11 | import onetomany.bargainingchipsgame.interactions.Offer;
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| 12 | import onetomany.bargainingchipsgame.players.utilityfunction.UtilityFunction;
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| 13 |
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| 14 | /**
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| 15 | * Boulware/Conceder tactics, by Tim Baarslag, adapted from [1]. Adapted by Mark
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| 16 | * Hendrikx to use the SortedOutcomeSpace instead of BidHistory. Adapted by
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| 17 | * David Festen for multilateral case.
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| 18 | *
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| 19 | * [1] S. Shaheen Fatima Michael Wooldridge Nicholas R. Jennings Optimal
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| 20 | * Negotiation Strategies for Agents with Incomplete Information
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| 21 | * http://eprints.ecs.soton.ac.uk/6151/1/atal01.pdf
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| 22 | *
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| 23 | * @author Tim Baarslag, Mark Hendrikx
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| 24 | */
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| 25 | public abstract class AbstractTimeDependentNegotiationParty extends Agent
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| 26 | {
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| 27 |
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[300] | 28 | private static final int DEADLINE = 20;
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[298] | 29 | OutcomeSpace outcomeSpace;
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| 30 | Bundle lastReceivedBid = null;
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| 31 |
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| 32 | public AbstractTimeDependentNegotiationParty(String name, UtilityFunction u,
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| 33 | BlockingQueue<onetomany.bargainingchipsgame.interactions.Offer> in,
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| 34 | BlockingQueue<onetomany.bargainingchipsgame.interactions.Offer> out,
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| 35 | BlockingQueue<CoordinationMessage> cin,
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| 36 | BlockingQueue<NegotiationStatusMessage> cout) {
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| 37 | super(name, u, in, out, cin, cout);
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| 38 | outcomeSpace = new OutcomeSpace(null);
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| 39 | }
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| 40 |
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| 41 | /**
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| 42 | * When this class is called, it is expected that the Party chooses one of
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| 43 | * the actions from the possible action list and returns an instance of the
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| 44 | * chosen action. This class is only called if this
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| 45 | * {@link genius.core.parties.NegotiationParty} is in the
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| 46 | * {@link MultilateralProtocol#getRoundStructure(java.util.List, negotiator.session.Session)}
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| 47 | * .
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| 48 | *
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| 49 | * @param possibleActions
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| 50 | * List of all actions possible.
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| 51 | * @return The chosen action
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| 52 | */
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| 53 | @Override
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| 54 | protected Offer sendOffer()
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| 55 | {
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| 56 | Bundle nextBid = getNextBid();
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| 57 |
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| 58 | double lastUtil = lastReceivedBid != null ? u.getUtility(lastReceivedBid) : 0;
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| 59 | double nextUtil = nextBid != null ? u.getUtility(nextBid) : 0;
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| 60 |
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| 61 | // Accept
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| 62 | if (nextUtil < lastUtil)
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| 63 | return new Accept();
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| 64 | // Counter offer based actions
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| 65 | else
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| 66 | return new Offer(nextBid);
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| 67 | }
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| 68 |
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| 69 | /**
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| 70 | * Get the next bid we should do
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| 71 | */
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| 72 | protected Bundle getNextBid()
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| 73 | {
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| 74 | return outcomeSpace.getBidNearUtility(getTargetUtility(), u);
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| 75 | }
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| 76 |
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| 77 | @Override
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| 78 | protected void receiveOffer(Offer o)
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| 79 | {
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| 80 | lastReceivedBid = o.getBundle();
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| 81 | }
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| 82 |
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| 83 | /**
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| 84 | * Gets the target utility for the next bid
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| 85 | *
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| 86 | * @return The target utility for the given time
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| 87 | */
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| 88 | public double getTargetUtility()
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| 89 | {
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| 90 | // timeline runs from 0.0 to 1.0
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[300] | 91 | int totalrounds = DEADLINE;
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| 92 | double time = (double) k / totalrounds;
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| 93 | double target = 1d - f(time);
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| 94 | System.out.println("t = " + time + ". Target util: " + target);
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[298] | 95 | return target;
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| 96 | }
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| 97 |
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| 98 | /**
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| 99 | * From [1]:
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| 100 | *
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| 101 | * A wide range of time dependent functions can be defined by varying the
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| 102 | * way in which f(t) is computed. However, functions must ensure that 0 <=
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| 103 | * f(t) <= 1, f(0) = k, and f(1) = 1.
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| 104 | *
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| 105 | * That is, the offer will always be between the value range, at the
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| 106 | * beginning it will give the initial constant and when the deadline is
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| 107 | * reached, it will offer the reservation value.
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| 108 | *
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| 109 | * For e = 0 (special case), it will behave as a Hardliner.
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| 110 | */
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| 111 | public double f(double t) {
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| 112 | if (getE() == 0) {
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| 113 | return 0;
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| 114 | }
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| 115 | return pow(t, 1 / getE());
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| 116 | }
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| 117 |
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| 118 | /**
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| 119 | * Depending on the value of e, extreme sets show clearly different patterns
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| 120 | * of behaviour [1]:
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| 121 | *
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| 122 | * 1. Boulware: For this strategy e < 1 and the initial offer is maintained
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| 123 | * till time is almost exhausted, when the agent concedes up to its
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| 124 | * reservation value.
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| 125 | *
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| 126 | * 2. Conceder: For this strategy e > 1 and the agent goes to its
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| 127 | * reservation value very quickly.
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| 128 | *
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| 129 | * 3. When e = 1, the price is increased linearly.
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| 130 | *
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| 131 | * 4. When e = 0, the agent plays hardball.
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| 132 | */
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| 133 | public abstract double getE();
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| 134 |
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| 135 | @Override
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[300] | 136 | protected Offer sendOpeningOffer()
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| 137 | {
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| 138 | return sendOffer();
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[298] | 139 | }
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| 140 |
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| 141 | @Override
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| 142 | protected void receiveCoordinationMessage(CoordinationMessage cpoll)
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| 143 | {
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[300] | 144 | // Update the utility function
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| 145 | u = cpoll.f;
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[298] | 146 | }
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| 147 | }
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