[167] | 1 | package boaexample;
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| 2 |
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[178] | 3 | import java.util.List;
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| 4 |
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[172] | 5 | import java.util.Collections;
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[167] | 6 | import java.util.HashMap;
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[179] | 7 | import java.util.Map;
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[167] | 8 |
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[178] | 9 | import negotiator.boaframework.opponentmodel.HardHeadedFrequencyModel;
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| 10 |
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| 11 | import genius.core.boaframework.AcceptanceStrategy;
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[167] | 12 | import genius.core.boaframework.BoaParty;
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[178] | 13 | import genius.core.boaframework.OMStrategy;
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| 14 | import genius.core.boaframework.OfferingStrategy;
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| 15 | import genius.core.boaframework.OpponentModel;
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| 16 | import genius.core.issue.IssueDiscrete;
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| 17 | import genius.core.issue.ValueDiscrete;
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[174] | 18 | import genius.core.parties.NegotiationInfo;
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[178] | 19 | import genius.core.uncertainty.AdditiveUtilitySpaceFactory;
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[167] | 20 | import genius.core.utility.AbstractUtilitySpace;
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| 21 |
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| 22 | /**
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[172] | 23 | * This example shows how BOA components can be made into an independent
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| 24 | * negotiation party.
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[167] | 25 | *
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[172] | 26 | * Note that this is equivalent to adding a BOA party via the GUI by selecting
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| 27 | * the components and parameters. However, this method gives more control over
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| 28 | * the implementation, as the agent designer can choose to override behavior
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| 29 | * (such as handling preference uncertainty).
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[167] | 30 | */
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[177] | 31 | @SuppressWarnings("serial")
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[178] | 32 | public class BoaPartyExample extends BoaParty
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| 33 | {
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| 34 | @SuppressWarnings("unchecked")
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[172] | 35 | @Override
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[178] | 36 | public void init(NegotiationInfo info)
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| 37 | {
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| 38 | // The choice for each component is made here
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| 39 | AcceptanceStrategy ac = new AC_Next();
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| 40 | OfferingStrategy os = new TimeDependent_Offering();
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| 41 | OpponentModel om = new HardHeadedFrequencyModel();
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| 42 | OMStrategy oms = new BestBid();
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| 43 |
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| 44 | // All component parameters can be set below.
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[179] | 45 | Map<String, Double> noparams = Collections.emptyMap();
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| 46 | Map<String, Double> osParams = new HashMap<String, Double>();
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[172] | 47 | // Set the concession parameter "e" for the offering strategy to yield
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| 48 | // Boulware-like behavior
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[169] | 49 | osParams.put("e", 0.2);
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[178] | 50 |
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| 51 | // Initialize all the components of this party to the choices defined above
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| 52 | configure(ac, noparams,
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| 53 | os, osParams,
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| 54 | om, noparams,
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| 55 | oms, noparams);
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[172] | 56 | super.init(info);
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[167] | 57 | }
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[172] | 58 |
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[167] | 59 | /**
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[172] | 60 | * Specific functionality, such as the estimate of the utility space in the
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| 61 | * face of preference uncertainty, can be specified by overriding the
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| 62 | * default behavior.
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[178] | 63 | *
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| 64 | * This example estimator sets all weights and all evaluator values randomly.
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[167] | 65 | */
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| 66 | @Override
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[172] | 67 | public AbstractUtilitySpace estimateUtilitySpace() {
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[178] | 68 | AdditiveUtilitySpaceFactory additiveUtilitySpaceFactory = new AdditiveUtilitySpaceFactory(getDomain());
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| 69 | List<IssueDiscrete> issues = additiveUtilitySpaceFactory.getIssues();
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| 70 | for (IssueDiscrete i : issues)
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| 71 | {
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| 72 | additiveUtilitySpaceFactory.setWeight(i, rand.nextDouble());
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| 73 | for (ValueDiscrete v : i.getValues())
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| 74 | additiveUtilitySpaceFactory.setUtility(i, v, rand.nextDouble());
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| 75 | }
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| 76 |
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| 77 | // Normalize the weights, since we picked them randomly in [0, 1]
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| 78 | additiveUtilitySpaceFactory.normalizeWeights();
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| 79 |
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| 80 | // The factory is done with setting all parameters, now return the utility space
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| 81 | return additiveUtilitySpaceFactory.getUtilitySpace();
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[167] | 82 | }
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[178] | 83 |
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[177] | 84 | @Override
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[178] | 85 | public String getDescription()
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| 86 | {
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[177] | 87 | return "Boa Party Example";
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| 88 | }
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| 89 |
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[178] | 90 | // All the rest of the functionality is defined by the BOA framework
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[167] | 91 | }
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