1 |
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2 | package agents.anac.y2018.fullagent;
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3 |
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4 | import java.util.List;
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5 |
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6 | import java.util.HashMap;
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7 | import java.util.HashSet;
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8 | import java.util.Map;
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9 | import java.util.Random;
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10 | import java.util.Set;
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11 |
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12 | import genius.core.bidding.BidDetails;
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13 | import genius.core.boaframework.BOAparameter;
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14 | import genius.core.boaframework.NegotiationSession;
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15 | import genius.core.boaframework.OMStrategy;
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16 | import genius.core.boaframework.OpponentModel;
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17 |
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18 | /**
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19 | * This class uses an opponent model to determine the next bid for the opponent,
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20 | * while taking the opponent's preferences into account. The opponent model is
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21 | * used to select the best bid.
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22 | *
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23 | */
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24 |
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25 | public class OMStrategy_lgsmi extends OMStrategy {
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26 |
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27 |
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28 | /**
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29 | * when to stop updating the opponentmodel. Note that this value is not
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30 | * exactly one as a match sometimes lasts slightly longer.
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31 | */
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32 |
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33 |
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34 | private double updateThreshold = 1.1;
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35 |
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36 |
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37 | /**
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38 | * Initializes the opponent model strategy. If a value for the parameter t
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39 | * is given, then it is set to this value. Otherwise, the default value is
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40 | * used.
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41 | *
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42 | * @param negotiationSession
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43 | * state of the negotiation.
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44 | * @param model
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45 | * opponent model used in conjunction with this opponent modeling
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46 | * strategy.
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47 | * @param parameters
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48 | * set of parameters for this opponent model strategy.
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49 | */
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50 | @Override
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51 | public void init(NegotiationSession negotiationSession, OpponentModel model, Map<String, Double> parameters) {
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52 | super.init(negotiationSession, model, parameters);
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53 | if (parameters.get("t") != null) {
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54 |
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55 | updateThreshold = parameters.get("t");
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56 |
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57 | } else {
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58 | System.out.println("OMStrategy assumed t = 1.1");
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59 | }
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60 | }
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61 |
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62 | /**
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63 | * Returns the best bid for the opponent given a set of similarly preferred
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64 | * bids.
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65 | *
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66 | * @param allBids
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67 | * of the bids considered for offering.
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68 | * @return bid to be offered to opponent.
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69 | */
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70 | @Override
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71 | public BidDetails getBid(List<BidDetails> allBids) {
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72 |
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73 | // 1. If there is only a single bid, return this bid
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74 | if (allBids.size() == 1) {
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75 | return allBids.get(0);
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76 | }
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77 | double bestUtil = -1;
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78 | BidDetails bestBid = allBids.get(0);
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79 |
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80 | // 2. Check that not all bids are assigned at utility of 0
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81 | // to ensure that the opponent model works. If the opponent model
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82 | // does not work, offer a random bid.
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83 | boolean allWereZero = true;
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84 | // 3. Determine the best bid
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85 | for (BidDetails bid : allBids) {
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86 | double evaluation = model.getBidEvaluation(bid.getBid());
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87 | if (evaluation > 0.0001) {
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88 | allWereZero = false;
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89 | }
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90 | if (evaluation > bestUtil) {
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91 | bestBid = bid;
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92 | bestUtil = evaluation;
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93 | }
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94 | }
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95 | // 4. The opponent model did not work, therefore, offer a random bid.
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96 | if (allWereZero) {
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97 | Random r = new Random();
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98 | return allBids.get(r.nextInt(allBids.size()));
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99 | }
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100 | return bestBid;
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101 | }
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102 |
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103 | /**
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104 | * The opponent model may be updated, unless the time is higher than a given
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105 | * constant.
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106 | *
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107 | * @return true if model may be updated.
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108 | */
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109 | @Override
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110 | public boolean canUpdateOM() {
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111 | return negotiationSession.getTime() < updateThreshold;
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112 | }
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113 |
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114 | @Override
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115 | public Set<BOAparameter> getParameterSpec() {
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116 | Set<BOAparameter> set = new HashSet<BOAparameter>();
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117 | set.add(new BOAparameter("t", 1.1, "Time after which the OM should not be updated"));
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118 | return set;
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119 | }
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120 |
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121 |
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122 | public Map<String, Double> getParameters() {
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123 | Map<String, Double> map = new HashMap<String, Double>();
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124 | //Time after which the OM should not be updated
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125 | map.put("t", 1.1);
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126 | return map;
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127 | }
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128 |
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129 | @Override
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130 | public String getName() {
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131 | return "OMStrategy_lgsmi";
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132 |
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133 | }
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134 | }
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