source: src/main/java/negotiator/boaframework/opponentmodel/PerfectScalableBayesianModel.java

Last change on this file was 127, checked in by Wouter Pasman, 6 years ago

#41 ROLL BACK of rev.126 . So this version is equal to rev. 125

File size: 4.1 KB
Line 
1package negotiator.boaframework.opponentmodel;
2
3import java.util.Map;
4
5import javax.swing.JOptionPane;
6
7import agents.bayesianopponentmodel.OpponentModelUtilSpace;
8import agents.bayesianopponentmodel.PerfectBayesianOpponentModelScalable;
9import genius.core.Bid;
10import genius.core.boaframework.NegotiationSession;
11import genius.core.boaframework.OpponentModel;
12import genius.core.issue.Issue;
13import genius.core.issue.ValueDiscrete;
14import genius.core.protocol.BilateralAtomicNegotiationSession;
15import genius.core.tournament.TournamentConfiguration;
16import genius.core.utility.AdditiveUtilitySpace;
17
18/**
19 * Adapter for BayesianOpponentModelScalable for the BOA framework. Modified
20 * such that it has perfect knowledge about the opponent's strategy.
21 *
22 * Tim Baarslag, Koen Hindriks, Mark Hendrikx, Alex Dirkzwager and Catholijn M.
23 * Jonker. Decoupling Negotiating Agents to Explore the Space of Negotiation
24 * Strategies
25 *
26 * KNOWN BUGS: 1. Opponent model does not take the opponent's strategy into
27 * account, in contrast to the original paper which depicts an assumption about
28 * the opponent'strategy which adapts over time.
29 *
30 * 2. The opponent model becomes invalid after a while as NaN occurs in some
31 * hypotheses, corrupting the overall estimation.
32 *
33 * @author Mark Hendrikx
34 */
35public class PerfectScalableBayesianModel extends OpponentModel {
36
37 private PerfectBayesianOpponentModelScalable model;
38 private int startingBidIssue = 0;
39
40 @Override
41 public void init(NegotiationSession negoSession, Map<String, Double> parameters) {
42 initializeModel(negoSession);
43 }
44
45 @Override
46 public void setOpponentUtilitySpace(AdditiveUtilitySpace opponentUtilitySpace) {
47 System.out.println("called");
48 model.setOpponentUtilitySpace(opponentUtilitySpace);
49 }
50
51 @Override
52 public void setOpponentUtilitySpace(BilateralAtomicNegotiationSession session) {
53
54 if (TournamentConfiguration.getBooleanOption("accessPartnerPreferences", false)) {
55 opponentUtilitySpace = (AdditiveUtilitySpace) session.getAgentAUtilitySpace();
56 if (negotiationSession.getUtilitySpace().getFileName().equals(opponentUtilitySpace.getFileName())) {
57 opponentUtilitySpace = (AdditiveUtilitySpace) session.getAgentBUtilitySpace();
58 }
59 model.setOpponentUtilitySpace((AdditiveUtilitySpace) opponentUtilitySpace);
60 } else {
61 JOptionPane.showMessageDialog(null,
62 "This opponent model needs access to the opponent's\npreferences. See tournament options.",
63 "Model error", 0);
64 System.err.println("Global.experimentalSetup should be enabled!");
65 }
66 }
67
68 public void initializeModel(NegotiationSession negotiationSession) {
69 this.negotiationSession = negotiationSession;
70 while (!testIndexOfFirstIssue(negotiationSession.getUtilitySpace().getDomain().getRandomBid(null),
71 startingBidIssue)) {
72 startingBidIssue++;
73 }
74 model = new PerfectBayesianOpponentModelScalable((AdditiveUtilitySpace) negotiationSession.getUtilitySpace());
75 }
76
77 /**
78 * Just an auxiliary function to calculate the index where issues start on a
79 * bid because we found out that it depends on the domain.
80 *
81 * @return true when the received index is the proper index
82 */
83 private boolean testIndexOfFirstIssue(Bid bid, int i) {
84 try {
85 @SuppressWarnings("unused")
86 ValueDiscrete valueOfIssue = (ValueDiscrete) bid.getValue(i);
87 } catch (Exception e) {
88 return false;
89 }
90 return true;
91 }
92
93 @Override
94 public void updateModel(Bid opponentBid, double time) {
95 try {
96 // time is not used by this opponent model
97 model.updateBeliefs(opponentBid);
98 } catch (Exception e) {
99 e.printStackTrace();
100 }
101 }
102
103 @Override
104 public double getBidEvaluation(Bid bid) {
105 try {
106 return model.getNormalizedUtility(bid);
107 } catch (Exception e) {
108 e.printStackTrace();
109 }
110 return 0;
111 }
112
113 public double getWeight(Issue issue) {
114 return model.getNormalizedWeight(issue, startingBidIssue);
115 }
116
117 @Override
118 public AdditiveUtilitySpace getOpponentUtilitySpace() {
119 return new OpponentModelUtilSpace(model);
120 }
121
122 public void cleanUp() {
123 super.cleanUp();
124 }
125
126 @Override
127 public String getName() {
128 return "Scalable Bayesian Model";
129 }
130}
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