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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