[1] | 1 | package agents.bayesianopponentmodel;
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| 2 |
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| 3 | import java.util.List;
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| 4 |
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| 5 | import genius.core.Bid;
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| 6 | import genius.core.Domain;
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| 7 | import genius.core.issue.Issue;
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| 8 | import genius.core.utility.AdditiveUtilitySpace;
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| 9 |
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| 10 | public class UtilitySpaceHypothesis extends Hypothesis {
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| 11 | private WeightHypothesis fWeightHyp;
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| 12 | private EvaluatorHypothesis[] fEvalHyp;
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| 13 | private Domain fDomain;
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| 14 | private AdditiveUtilitySpace fUS;
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| 15 | List<Issue> issues;
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| 16 |
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| 17 | public UtilitySpaceHypothesis(Domain pDomain, AdditiveUtilitySpace pUS,
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| 18 | WeightHypothesis pWeightHyp, EvaluatorHypothesis[] pEvalHyp) {
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| 19 | fUS = pUS;
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| 20 | fDomain = pDomain;
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| 21 | issues = fDomain.getIssues();
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| 22 | fWeightHyp = pWeightHyp;
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| 23 | fEvalHyp = pEvalHyp;
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| 24 | }
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| 25 |
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| 26 | public Domain getDomain() {
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| 27 | return fDomain;
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| 28 | }
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| 29 |
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| 30 | public AdditiveUtilitySpace getUtilitySpace() {
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| 31 | return fUS;
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| 32 | }
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| 33 |
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| 34 | public EvaluatorHypothesis[] getEvalHyp() {
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| 35 | return fEvalHyp;
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| 36 | }
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| 37 |
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| 38 | public WeightHypothesis getHeightHyp() {
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| 39 | return fWeightHyp;
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| 40 | }
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| 41 |
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| 42 | public double getUtility(Bid pBid) {
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| 43 | double u = 0;
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| 44 |
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| 45 | for (int k = 0; k < fEvalHyp.length; k++) {
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| 46 | try {
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| 47 | u = u
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| 48 | + fWeightHyp.getWeight(k)
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| 49 | * fEvalHyp[k].getEvaluator().getEvaluation(fUS, pBid,
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| 50 | issues.get(k).getNumber());
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| 51 | } catch (Exception e) {
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| 52 | u = 0;
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| 53 | }
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| 54 | }
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| 55 | return u;
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| 56 |
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| 57 | }
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| 58 |
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| 59 | public String toString() {
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| 60 | String lResult = "";
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| 61 | lResult += fWeightHyp.toString();
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| 62 | for (EvaluatorHypothesis lHyp : fEvalHyp) {
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| 63 | lResult += lHyp.toString() + ";";
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| 64 | }
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| 65 | lResult += String.format("%1.5f", getProbability());
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| 66 | return lResult;
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| 67 | }
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| 68 | }
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