[1] | 1 | package agents.anac.y2010.Southampton;
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| 2 |
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| 3 | import agents.anac.y2010.Southampton.similarity.LinearSimilarityAgent;
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| 4 | import agents.anac.y2010.Southampton.utils.concession.SpecialTimeConcessionFunction;
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| 5 | import agents.anac.y2010.Southampton.utils.concession.TimeConcessionFunction;
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| 6 | import genius.core.SupportedNegotiationSetting;
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| 7 |
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| 8 | /**
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| 9 | * @author Colin Williams The IAMhaggler Agent, created for ANAC 2010. Designed
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| 10 | * by C. R. Williams, V. Robu, E. Gerding and N. R. Jennings.
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| 11 | *
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| 12 | */
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| 13 | public class IAMhaggler extends LinearSimilarityAgent {
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| 14 |
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| 15 | /**
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| 16 | * The lowest target we have tried to use (initialised to 1).
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| 17 | */
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| 18 | private double lowestTarget = 1.0;
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| 19 |
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| 20 | /**
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| 21 | * The minimum discounting factor.
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| 22 | */
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| 23 | private final double minDiscounting = 0.1;
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| 24 |
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| 25 | /**
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| 26 | * The minimum beta value, which stops the agent from becoming too tough.
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| 27 | */
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| 28 | private final double minBeta = 0.01;
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| 29 |
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| 30 | /**
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| 31 | * The maximum beta value, which stops the agent from becoming too weak.
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| 32 | */
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| 33 | private double maxBeta = 2.0;
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| 34 |
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| 35 | /**
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| 36 | * The default value for beta, used when there is not enough information to
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| 37 | * perform the linear regression.
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| 38 | */
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| 39 | private double defaultBeta = 1;
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| 40 |
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| 41 | /**
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| 42 | * The minimum target value when the opponent is considered to be a
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| 43 | * hardhaed.
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| 44 | */
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| 45 | private final double hardHeadTarget = 0.8;
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| 46 |
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| 47 | /*
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| 48 | * (non-Javadoc)
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| 49 | *
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| 50 | * @see agents.southampton.similarity.SimilarityAgent#init()
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| 51 | */
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| 52 | @Override
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| 53 | public void init() {
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| 54 | super.init();
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| 55 | int discreteCombinationCount = this.bidSpace
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| 56 | .getDiscreteCombinationsCount();
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| 57 | if (this.bidSpace.isContinuousWeightsZero()) {
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| 58 | defaultBeta = Math.min(0.5,
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| 59 | Math.max(0.0625, discreteCombinationCount * 0.001));
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| 60 | if (utilitySpace.isDiscounted()) {
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| 61 | maxBeta = (2.0 + (4.0
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| 62 | * Math.min(0.5, utilitySpace.getDiscountFactor())))
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| 63 | * defaultBeta;
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| 64 | } else {
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| 65 | maxBeta = 2.0 + 4.0 * defaultBeta;
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| 66 | }
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| 67 | }
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| 68 | }
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| 69 |
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| 70 | /*
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| 71 | * (non-Javadoc)
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| 72 | *
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| 73 | * @see agents.southampton.similarity.VariableConcessionSimilarityAgent#
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| 74 | * getTargetUtility(double, double)
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| 75 | */
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| 76 | @Override
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| 77 | protected double getTargetUtility(double myUtility, double oppntUtility) {
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| 78 | double currentTime = timeline.getTime() * timeline.getTotalTime()
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| 79 | * 1000;
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| 80 | double beta = bidSpace.getBeta(bestOpponentBidUtilityHistory,
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| 81 | timeline.getTime(), utility0, utility1, minDiscounting, minBeta,
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| 82 | maxBeta, defaultBeta, currentTime, currentTime);
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| 83 |
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| 84 | cf = new SpecialTimeConcessionFunction(beta, defaultBeta,
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| 85 | TimeConcessionFunction.DEFAULT_BREAKOFF);
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| 86 |
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| 87 | double target = super.getTargetUtility(myUtility, oppntUtility);
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| 88 |
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| 89 | lowestTarget = Math.min(target, lowestTarget);
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| 90 |
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| 91 | if (opponentIsHardHead) {
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| 92 | return Math.max(hardHeadTarget, lowestTarget);
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| 93 | }
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| 94 | return lowestTarget;
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| 95 | }
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| 96 |
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| 97 | /*
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| 98 | * (non-Javadoc)
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| 99 | *
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| 100 | * @see negotiator.Agent#getName()
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| 101 | */
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| 102 | @Override
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| 103 | public String getName() {
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| 104 | return "IAMhaggler";
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| 105 | }
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| 106 |
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| 107 | /**
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| 108 | * @return
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| 109 | */
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| 110 | @Override
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| 111 | public String getVersion() {
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| 112 | return "2.0 (Genius 3.1)";
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| 113 | }
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| 114 |
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| 115 | @Override
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| 116 | public SupportedNegotiationSetting getSupportedNegotiationSetting() {
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| 117 | return SupportedNegotiationSetting.getLinearUtilitySpaceInstance();
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| 118 | }
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| 119 |
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| 120 | @Override
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| 121 | public String getDescription() {
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| 122 | return "ANAC2010";
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| 123 | }
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| 124 | }
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