1 | package negotiator.boaframework.opponentmodel;
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2 |
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3 | import java.util.Map;
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4 |
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5 | import javax.swing.JOptionPane;
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6 |
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7 | import agents.bayesianopponentmodel.OpponentModelUtilSpace;
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8 | import agents.bayesianopponentmodel.PerfectBayesianOpponentModelScalable;
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9 | import genius.core.Bid;
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10 | import genius.core.boaframework.NegotiationSession;
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11 | import genius.core.boaframework.OpponentModel;
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12 | import genius.core.issue.Issue;
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13 | import genius.core.issue.ValueDiscrete;
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14 | import genius.core.protocol.BilateralAtomicNegotiationSession;
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15 | import genius.core.tournament.TournamentConfiguration;
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16 | import genius.core.utility.AdditiveUtilitySpace;
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17 |
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18 | /**
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19 | * Adapter for BayesianOpponentModelScalable for the BOA framework. Modified
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20 | * such that it has perfect knowledge about the opponent's strategy.
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21 | *
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22 | * Tim Baarslag, Koen Hindriks, Mark Hendrikx, Alex Dirkzwager and Catholijn M.
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23 | * Jonker. Decoupling Negotiating Agents to Explore the Space of Negotiation
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24 | * Strategies
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25 | *
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26 | * KNOWN BUGS: 1. Opponent model does not take the opponent's strategy into
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27 | * account, in contrast to the original paper which depicts an assumption about
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28 | * the opponent'strategy which adapts over time.
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29 | *
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30 | * 2. The opponent model becomes invalid after a while as NaN occurs in some
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31 | * hypotheses, corrupting the overall estimation.
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32 | *
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33 | * @author Mark Hendrikx
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34 | */
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35 | public class PerfectScalableBayesianModel extends OpponentModel {
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36 |
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37 | private PerfectBayesianOpponentModelScalable model;
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38 | private int startingBidIssue = 0;
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39 |
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40 | @Override
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41 | public void init(NegotiationSession negoSession, Map<String, Double> parameters) {
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42 | initializeModel(negoSession);
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43 | }
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44 |
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45 | @Override
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46 | public void setOpponentUtilitySpace(AdditiveUtilitySpace opponentUtilitySpace) {
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47 | System.out.println("called");
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48 | model.setOpponentUtilitySpace(opponentUtilitySpace);
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49 | }
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50 |
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51 | @Override
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52 | public void setOpponentUtilitySpace(BilateralAtomicNegotiationSession session) {
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53 |
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54 | if (TournamentConfiguration.getBooleanOption("accessPartnerPreferences", false)) {
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55 | opponentUtilitySpace = (AdditiveUtilitySpace) session.getAgentAUtilitySpace();
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56 | if (negotiationSession.getUtilitySpace().getFileName().equals(opponentUtilitySpace.getFileName())) {
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57 | opponentUtilitySpace = (AdditiveUtilitySpace) session.getAgentBUtilitySpace();
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58 | }
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59 | model.setOpponentUtilitySpace((AdditiveUtilitySpace) opponentUtilitySpace);
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60 | } else {
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61 | JOptionPane.showMessageDialog(null,
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62 | "This opponent model needs access to the opponent's\npreferences. See tournament options.",
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63 | "Model error", 0);
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64 | System.err.println("Global.experimentalSetup should be enabled!");
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65 | }
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66 | }
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67 |
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68 | public void initializeModel(NegotiationSession negotiationSession) {
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69 | this.negotiationSession = negotiationSession;
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70 | while (!testIndexOfFirstIssue(negotiationSession.getUtilitySpace().getDomain().getRandomBid(null),
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71 | startingBidIssue)) {
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72 | startingBidIssue++;
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73 | }
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74 | model = new PerfectBayesianOpponentModelScalable((AdditiveUtilitySpace) negotiationSession.getUtilitySpace());
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75 | }
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76 |
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77 | /**
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78 | * Just an auxiliary function to calculate the index where issues start on a
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79 | * bid because we found out that it depends on the domain.
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80 | *
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81 | * @return true when the received index is the proper index
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82 | */
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83 | private boolean testIndexOfFirstIssue(Bid bid, int i) {
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84 | try {
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85 | @SuppressWarnings("unused")
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86 | ValueDiscrete valueOfIssue = (ValueDiscrete) bid.getValue(i);
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87 | } catch (Exception e) {
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88 | return false;
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89 | }
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90 | return true;
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91 | }
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92 |
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93 | @Override
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94 | public void updateModel(Bid opponentBid, double time) {
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95 | try {
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96 | // time is not used by this opponent model
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97 | model.updateBeliefs(opponentBid);
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98 | } catch (Exception e) {
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99 | e.printStackTrace();
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100 | }
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101 | }
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102 |
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103 | @Override
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104 | public double getBidEvaluation(Bid bid) {
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105 | try {
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106 | return model.getNormalizedUtility(bid);
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107 | } catch (Exception e) {
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108 | e.printStackTrace();
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109 | }
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110 | return 0;
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111 | }
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112 |
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113 | public double getWeight(Issue issue) {
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114 | return model.getNormalizedWeight(issue, startingBidIssue);
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115 | }
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116 |
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117 | @Override
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118 | public AdditiveUtilitySpace getOpponentUtilitySpace() {
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119 | return new OpponentModelUtilSpace(model);
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120 | }
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121 |
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122 | public void cleanUp() {
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123 | super.cleanUp();
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124 | }
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125 |
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126 | @Override
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127 | public String getName() {
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128 | return "Scalable Bayesian Model";
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129 | }
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130 | } |
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