1 | package agents.anac.y2019.harddealer;
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2 |
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3 | import java.util.ArrayList;
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4 | import java.util.HashSet;
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5 | import java.util.List;
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6 | import java.util.Map;
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7 | import java.util.Random;
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8 | import java.util.Set;
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9 |
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10 | import genius.core.bidding.BidDetails;
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11 | import genius.core.boaframework.BOAparameter;
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12 | import genius.core.boaframework.NegotiationSession;
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13 | import genius.core.boaframework.OMStrategy;
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14 | import genius.core.boaframework.OpponentModel;
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15 |
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16 | /**
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17 | * This implementation is based on the code provided in the Boaexamples directory. Specifically the code of BestBid has been used and altered.
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18 | * @author svenhendrikx
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19 | *
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20 | */
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21 | public class HardDealer_OMS extends OMStrategy {
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22 |
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23 | double updateThreshold = 1.1;
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24 |
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25 | @Override
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26 | public void init(NegotiationSession negotiationSession, OpponentModel model, Map<String, Double> parameters) {
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27 | super.init(negotiationSession, model, parameters);
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28 | if (parameters.get("t") != null) {
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29 | updateThreshold = parameters.get("t").doubleValue();
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30 | } else {
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31 | System.out.println("OMStrategy assumed t = 1.1");
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32 | }
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33 | }
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34 |
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35 | @Override
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36 | public BidDetails getBid(List<BidDetails> allBids) {
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37 | if (allBids.size() == 1) {
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38 | return allBids.get(0);
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39 | }
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40 |
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41 | // Check if the model is working, i.e. not returning only zeroes.
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42 | boolean allWereZero = true;
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43 |
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44 | // Will contain x best bids
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45 | List<BidDetails> bestbids = new ArrayList<BidDetails>();
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46 | for (BidDetails bid : allBids) {
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47 |
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48 | double evaluation = model.getBidEvaluation(bid.getBid());
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49 |
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50 | // model works
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51 | if (evaluation > 0.0001)
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52 | {
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53 | allWereZero = false;
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54 | }
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55 |
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56 | // bestbids's allowed size will decrease during negotiation. For more info, see OMstrategy part in report
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57 | if (bestbids.size() < (int)(5 * (1 - negotiationSession.getTime())) + 1)
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58 | {
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59 | bestbids.add(bid);
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60 | }
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61 | else
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62 | {
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63 | // Find the five best bids according to the opponent model
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64 | bestbids.sort(new SortBidsOpponent(model));
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65 |
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66 | if (model.getBidEvaluation(bestbids.get(0).getBid()) < evaluation)
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67 | bestbids.set(0, bid);
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68 | }
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69 |
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70 | }
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71 |
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72 | // 4. The opponent model did not work, therefore, offer a random bid.
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73 | if (allWereZero) {
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74 | Random r = new Random();
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75 | return allBids.get(r.nextInt(allBids.size()));
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76 | }
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77 |
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78 |
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79 | bestbids.sort(new SortBids());
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80 | // Find the best bid from the bids the opponent model selected.
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81 | BidDetails myBid = bestbids.get(bestbids.size() - 1);
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82 |
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83 | if (negotiationSession.getOpponentBidHistory().isEmpty())
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84 | {
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85 | return myBid;
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86 | }
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87 | else
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88 | {
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89 | // If the opponent has offered something before with a better utility than our current selected bid, return their best bid.
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90 | BidDetails theirBestBid = negotiationSession.getOpponentBidHistory().getBestBidDetails();
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91 |
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92 | if (myBid.getMyUndiscountedUtil() >= theirBestBid.getMyUndiscountedUtil())
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93 | {
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94 | return myBid;
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95 | }
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96 | else
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97 | {
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98 | return theirBestBid;
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99 | }
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100 | }
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101 |
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102 |
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103 | }
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104 |
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105 | @Override
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106 | public boolean canUpdateOM() {
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107 | return negotiationSession.getTime() < updateThreshold;
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108 | }
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109 |
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110 | @Override
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111 | public Set<BOAparameter> getParameterSpec() {
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112 | Set<BOAparameter> set = new HashSet<BOAparameter>();
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113 | set.add(new BOAparameter("t", 1.1, "Time after which the OM should not be updated"));
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114 | return set;
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115 | }
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116 |
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117 | @Override
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118 | public String getName() {
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119 | return "HardDealer_OMS";
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120 | }
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121 |
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122 | }
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