[184] | 1 | package bilateralexamples.boacomponents;
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[127] | 2 |
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| 3 | import java.util.HashSet;
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| 4 | import java.util.Map;
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| 5 | import java.util.Set;
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| 6 |
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| 7 | import genius.core.bidding.BidDetails;
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| 8 | import genius.core.boaframework.BOAparameter;
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| 9 | import genius.core.boaframework.NegotiationSession;
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| 10 | import genius.core.boaframework.NoModel;
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| 11 | import genius.core.boaframework.OMStrategy;
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| 12 | import genius.core.boaframework.OfferingStrategy;
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| 13 | import genius.core.boaframework.OpponentModel;
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| 14 | import genius.core.boaframework.SortedOutcomeSpace;
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| 15 |
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| 16 | /**
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| 17 | * This is an abstract class used to implement a TimeDependentAgent Strategy
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| 18 | * adapted from [1] [1] S. Shaheen Fatima Michael Wooldridge Nicholas R.
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| 19 | * Jennings Optimal Negotiation Strategies for Agents with Incomplete
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| 20 | * Information http://eprints.ecs.soton.ac.uk/6151/1/atal01.pdf
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| 21 | *
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| 22 | * The default strategy was extended to enable the usage of opponent models.
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| 23 | */
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| 24 | public class TimeDependent_Offering extends OfferingStrategy {
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| 25 |
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| 26 | /**
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| 27 | * k in [0, 1]. For k = 0 the agent starts with a bid of maximum utility
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| 28 | */
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| 29 | private double k;
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| 30 | /** Maximum target utility */
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| 31 | private double Pmax;
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| 32 | /** Minimum target utility */
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| 33 | private double Pmin;
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| 34 | /** Concession factor */
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| 35 | private double e;
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| 36 | /** Outcome space */
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| 37 | private SortedOutcomeSpace outcomespace;
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| 38 |
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| 39 | /**
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| 40 | * Method which initializes the agent by setting all parameters. The
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| 41 | * parameter "e" is the only parameter which is required.
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| 42 | */
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| 43 | @Override
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| 44 | public void init(NegotiationSession negoSession, OpponentModel model, OMStrategy oms,
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| 45 | Map<String, Double> parameters) throws Exception {
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| 46 | super.init(negoSession, parameters);
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| 47 | if (parameters.get("e") != null) {
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| 48 | this.negotiationSession = negoSession;
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| 49 |
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| 50 | outcomespace = new SortedOutcomeSpace(negotiationSession.getUtilitySpace());
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| 51 | negotiationSession.setOutcomeSpace(outcomespace);
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| 52 |
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| 53 | this.e = parameters.get("e");
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| 54 |
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| 55 | if (parameters.get("k") != null)
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| 56 | this.k = parameters.get("k");
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| 57 | else
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| 58 | this.k = 0;
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| 59 |
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| 60 | if (parameters.get("min") != null)
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| 61 | this.Pmin = parameters.get("min");
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| 62 | else
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| 63 | this.Pmin = negoSession.getMinBidinDomain().getMyUndiscountedUtil();
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| 64 |
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| 65 | if (parameters.get("max") != null) {
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| 66 | Pmax = parameters.get("max");
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| 67 | } else {
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| 68 | BidDetails maxBid = negoSession.getMaxBidinDomain();
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| 69 | Pmax = maxBid.getMyUndiscountedUtil();
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| 70 | }
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| 71 |
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| 72 | this.opponentModel = model;
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[161] | 73 |
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[127] | 74 | this.omStrategy = oms;
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| 75 | } else {
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| 76 | throw new Exception("Constant \"e\" for the concession speed was not set.");
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| 77 | }
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| 78 | }
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| 79 |
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| 80 | @Override
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| 81 | public BidDetails determineOpeningBid() {
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| 82 | return determineNextBid();
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| 83 | }
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| 84 |
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| 85 | /**
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| 86 | * Simple offering strategy which retrieves the target utility and looks for
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| 87 | * the nearest bid if no opponent model is specified. If an opponent model
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| 88 | * is specified, then the agent return a bid according to the opponent model
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| 89 | * strategy.
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| 90 | */
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| 91 | @Override
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| 92 | public BidDetails determineNextBid() {
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| 93 | double time = negotiationSession.getTime();
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| 94 | double utilityGoal;
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| 95 | utilityGoal = p(time);
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| 96 |
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| 97 | // System.out.println("[e=" + e + ", Pmin = " +
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| 98 | // BilateralAgent.round2(Pmin) + "] t = " + BilateralAgent.round2(time)
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| 99 | // + ". Aiming for " + utilityGoal);
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| 100 |
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| 101 | // if there is no opponent model available
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| 102 | if (opponentModel instanceof NoModel) {
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| 103 | nextBid = negotiationSession.getOutcomeSpace().getBidNearUtility(utilityGoal);
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| 104 | } else {
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| 105 | nextBid = omStrategy.getBid(outcomespace, utilityGoal);
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| 106 | }
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| 107 | return nextBid;
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| 108 | }
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| 109 |
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| 110 | /**
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| 111 | * From [1]:
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| 112 | *
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| 113 | * A wide range of time dependent functions can be defined by varying the
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| 114 | * way in which f(t) is computed. However, functions must ensure that 0 <=
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| 115 | * f(t) <= 1, f(0) = k, and f(1) = 1.
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| 116 | *
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| 117 | * That is, the offer will always be between the value range, at the
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| 118 | * beginning it will give the initial constant and when the deadline is
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| 119 | * reached, it will offer the reservation value.
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| 120 | *
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| 121 | * For e = 0 (special case), it will behave as a Hardliner.
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| 122 | */
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| 123 | public double f(double t) {
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| 124 | if (e == 0)
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| 125 | return k;
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| 126 | double ft = k + (1 - k) * Math.pow(t, 1.0 / e);
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| 127 | return ft;
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| 128 | }
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| 129 |
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| 130 | /**
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| 131 | * Makes sure the target utility with in the acceptable range according to
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[161] | 132 | * the domain. Goes from Pmax to Pmin!
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[127] | 133 | *
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| 134 | * @param t
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| 135 | * @return double
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| 136 | */
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| 137 | public double p(double t) {
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| 138 | return Pmin + (Pmax - Pmin) * (1 - f(t));
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| 139 | }
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| 140 |
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| 141 | public NegotiationSession getNegotiationSession() {
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| 142 | return negotiationSession;
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| 143 | }
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| 144 |
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| 145 | @Override
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| 146 | public Set<BOAparameter> getParameterSpec() {
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| 147 | Set<BOAparameter> set = new HashSet<BOAparameter>();
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| 148 | set.add(new BOAparameter("e", 1.0, "Concession rate"));
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| 149 | set.add(new BOAparameter("k", 0.0, "Offset"));
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| 150 | set.add(new BOAparameter("min", 0.0, "Minimum utility"));
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| 151 | set.add(new BOAparameter("max", 0.99, "Maximum utility"));
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| 152 |
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| 153 | return set;
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| 154 | }
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| 155 |
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| 156 | @Override
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| 157 | public String getName() {
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| 158 | return "TimeDependent Offering example";
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| 159 | }
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[1] | 160 | } |
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