[127] | 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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[1] | 130 | } |
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