[127] | 1 | package agents.anac.y2014.SimpaticoAgent;
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| 2 |
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[160] | 3 | import java.util.List;
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| 4 |
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[127] | 5 | import java.util.ArrayList;
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| 6 | import java.util.HashMap;
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| 7 | import java.util.Random;
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| 8 |
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| 9 | import genius.core.Agent;
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| 10 | import genius.core.Bid;
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| 11 | import genius.core.actions.Accept;
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| 12 | import genius.core.actions.Action;
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| 13 | import genius.core.actions.Offer;
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| 14 | import genius.core.issue.Issue;
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| 15 | import genius.core.issue.IssueDiscrete;
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| 16 | import genius.core.issue.IssueInteger;
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| 17 | import genius.core.issue.IssueReal;
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| 18 | import genius.core.issue.Value;
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| 19 | import genius.core.issue.ValueDiscrete;
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| 20 | import genius.core.issue.ValueInteger;
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| 21 | import genius.core.issue.ValueReal;
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| 22 |
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| 23 | /**
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| 24 | * @author Bedour Alrayes, Paulo Ricca, Ozgur Kafali, Kostas Stathis
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| 25 | * @institution Royal Holloway University of London
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| 26 | *
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| 27 | *
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| 28 | */
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| 29 | public class Simpatico extends Agent {
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| 30 | private Action actionOfPartner = null;
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| 31 | private double initialMinimumBidUtility = 0.9;
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| 32 | private double minimumBidUtility = initialMinimumBidUtility;
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| 33 | private double acceptanceBidUtility = 0.85;
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| 34 | private BidTuple bestOpponentOffer = null;
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| 35 | private ArrayList<BidTuple> bestOpponentOffers = new ArrayList<Simpatico.BidTuple>();
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| 36 | private int bidToSubmitBack = 0; // used in the last moments, we propose
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| 37 | // back the best of the opponents bids
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| 38 |
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| 39 | // Search Parameters
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| 40 | private int initialSearchDepth = 3;
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| 41 | private int maximumSearchDepth = initialSearchDepth;
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| 42 | private int maximumSearchDepthForOurBids = 2;
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| 43 | private float percentageOfIssuesToChange = 0.5f;
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| 44 | private float randomSearchRatio = 0.3f;
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| 45 |
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| 46 | // Decision making parameters
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| 47 | double maximumRoundTime = 0;
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| 48 | double lastRoundTime = 0;
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| 49 | boolean opponentIsCooperative = true;
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| 50 |
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| 51 | int countOpponentOffers = 0;
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| 52 | double cooperationthreshold = 0.5;
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| 53 | double minimumCooperativeUtility = 0.5;
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| 54 | double numberOfCooperativeUtilities;
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| 55 |
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| 56 | @Override
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| 57 | public void init() {
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| 58 | actionOfPartner = null;
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| 59 | initialMinimumBidUtility = 0.9;
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| 60 | minimumBidUtility = initialMinimumBidUtility;
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| 61 | acceptanceBidUtility = 0.85;
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| 62 | bestOpponentOffer = null;
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| 63 | bestOpponentOffers = new ArrayList<Simpatico.BidTuple>();
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| 64 | bidToSubmitBack = 0; // used in the last moments, we propose back the
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| 65 | // best of the opponents bids
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| 66 |
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| 67 | // Search Parameters
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| 68 | initialSearchDepth = 3;
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| 69 | maximumSearchDepth = initialSearchDepth;
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| 70 | maximumSearchDepthForOurBids = 2;
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| 71 | percentageOfIssuesToChange = 0.5f;
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| 72 | randomSearchRatio = 0.3f;
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| 73 |
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| 74 | // Decision making parameters
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| 75 | maximumRoundTime = 0;
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| 76 | lastRoundTime = 0;
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| 77 | opponentIsCooperative = true;
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| 78 |
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| 79 | countOpponentOffers = 0;
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| 80 | cooperationthreshold = 0.5;
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| 81 | minimumCooperativeUtility = 0.5;
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| 82 | }
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| 83 |
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| 84 | private BidTuple SearchNeighbourhood(BidTuple initialBid) {
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| 85 | return SearchNeighbourhood(initialBid, maximumSearchDepth);
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| 86 | }
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| 87 |
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| 88 | @Override
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| 89 | public String getVersion() {
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| 90 | return "1.0";
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| 91 | }
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| 92 |
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| 93 | @Override
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| 94 | public String getName() {
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[160] | 95 | return "Simpatico";
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[127] | 96 | }
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| 97 |
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| 98 | @Override
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| 99 | public void ReceiveMessage(Action opponentAction) {
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| 100 | actionOfPartner = opponentAction;
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| 101 | }
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| 102 |
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| 103 | private BidTuple SearchNeighbourhood(BidTuple initialBid, int depth) {
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| 104 | if (depth == 0) {
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| 105 | return initialBid;
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| 106 | }
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| 107 | BidTuple bestBid = initialBid;
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| 108 | int nIssues = initialBid.bid.getIssues().size();
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| 109 |
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| 110 | int numberOfIssuesToChange = (int) (nIssues
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| 111 | * percentageOfIssuesToChange);
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| 112 | if (numberOfIssuesToChange > 5)
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| 113 | numberOfIssuesToChange = 5;
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| 114 | debug("NUMBER OF ISSUES: " + numberOfIssuesToChange, 3);
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| 115 |
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| 116 | int[] issuesToChange = new int[numberOfIssuesToChange];
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| 117 | Random rand = new Random();
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| 118 | for (int i = 0; i < issuesToChange.length; i++) {
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| 119 | boolean alreadyChosen;
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| 120 | boolean assigned = false;
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| 121 | do {
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| 122 | alreadyChosen = false;
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| 123 | int issueIndexChosen = 1 + rand.nextInt(nIssues - 1);
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| 124 | for (int j = 0; j <= i - 1; j++) {
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| 125 | if (issuesToChange[j] == issueIndexChosen) {
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| 126 | alreadyChosen = true;
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| 127 | }
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| 128 | }
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| 129 | if (!alreadyChosen) {
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| 130 | issuesToChange[i] = issueIndexChosen;
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| 131 | assigned = true;
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| 132 | }
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| 133 |
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| 134 | } while (!assigned && alreadyChosen);
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| 135 | }
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| 136 | try {
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| 137 | for (int i = 0; i < issuesToChange.length; i++) {
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| 138 | BidTuple bidTupleTmp;
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| 139 | switch (initialBid.bid.getIssues().get(issuesToChange[i])
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| 140 | .getType()) {
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| 141 | case DISCRETE:
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| 142 | bidTupleTmp = getDiscreteIssueVariation(initialBid,
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| 143 | issuesToChange[i], 1);
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| 144 | if (bidTupleTmp != null) {
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| 145 | if (bidTupleTmp.utility > bestBid.utility)
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| 146 | bestBid = bidTupleTmp;
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| 147 | BidTuple returnedBid = SearchNeighbourhood(bidTupleTmp,
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| 148 | depth - 1);
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| 149 | if (returnedBid.utility > bestBid.utility)
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| 150 | bestBid = returnedBid;
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| 151 | }
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| 152 |
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| 153 | bidTupleTmp = getDiscreteIssueVariation(initialBid,
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| 154 | issuesToChange[i], -1);
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| 155 | if (bidTupleTmp != null) {
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| 156 | if (bidTupleTmp.utility > bestBid.utility)
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| 157 | bestBid = bidTupleTmp;
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| 158 | BidTuple returnedBid = SearchNeighbourhood(bidTupleTmp,
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| 159 | depth - 1);
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| 160 | if (returnedBid.utility > bestBid.utility)
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| 161 | bestBid = returnedBid;
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| 162 | }
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| 163 | break;
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| 164 | case REAL:
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| 165 | IssueReal issueReal = (IssueReal) initialBid.bid.getIssues()
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| 166 | .get(issuesToChange[i]);
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| 167 | double range = issueReal.getUpperBound()
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| 168 | - issueReal.getLowerBound();
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| 169 | double variation = range * 0.05;
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| 170 |
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| 171 | bidTupleTmp = getRealIssueVariation(initialBid,
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| 172 | issuesToChange[i], rand.nextFloat() * variation);
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| 173 | if (bidTupleTmp != null) {
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| 174 | if (bidTupleTmp.utility > bestBid.utility)
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| 175 | bestBid = bidTupleTmp;
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| 176 | BidTuple returnedBid = SearchNeighbourhood(bidTupleTmp,
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| 177 | depth - 1);
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| 178 | if (returnedBid.utility > bestBid.utility)
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| 179 | bestBid = returnedBid;
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| 180 | }
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| 181 |
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| 182 | bidTupleTmp = getRealIssueVariation(initialBid,
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| 183 | issuesToChange[i], -rand.nextFloat() * variation);
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| 184 | if (bidTupleTmp != null) {
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| 185 | if (bidTupleTmp.utility > bestBid.utility)
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| 186 | bestBid = bidTupleTmp;
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| 187 | BidTuple returnedBid = SearchNeighbourhood(bidTupleTmp,
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| 188 | depth - 1);
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| 189 | if (returnedBid.utility > bestBid.utility)
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| 190 | bestBid = returnedBid;
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| 191 | }
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| 192 | break;
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| 193 | case INTEGER:
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| 194 | bidTupleTmp = getIntegerIssueVariation(initialBid,
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| 195 | issuesToChange[i], 1);
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| 196 | if (bidTupleTmp != null) {
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| 197 | if (bidTupleTmp.utility > bestBid.utility)
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| 198 | bestBid = bidTupleTmp;
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| 199 | BidTuple returnedBid = SearchNeighbourhood(bidTupleTmp,
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| 200 | depth - 1);
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| 201 | if (returnedBid.utility > bestBid.utility)
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| 202 | bestBid = returnedBid;
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| 203 | }
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| 204 |
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| 205 | bidTupleTmp = getIntegerIssueVariation(initialBid,
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| 206 | issuesToChange[i], -1);
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| 207 | if (bidTupleTmp != null) {
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| 208 | if (bidTupleTmp.utility > bestBid.utility)
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| 209 | bestBid = bidTupleTmp;
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| 210 | BidTuple returnedBid = SearchNeighbourhood(bidTupleTmp,
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| 211 | depth - 1);
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| 212 | if (returnedBid.utility > bestBid.utility)
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| 213 | bestBid = returnedBid;
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| 214 | }
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| 215 | break;
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| 216 | default:
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| 217 | throw new Exception(
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| 218 | "issue type not supported by " + getName());
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| 219 | }
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| 220 | }
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| 221 | } catch (Exception e) {
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| 222 | debug(e.getMessage());
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| 223 | e.printStackTrace();
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| 224 | }
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| 225 | return bestBid;
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| 226 | }
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| 227 |
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| 228 | private void saveBestOpponentBids(BidTuple bid) {
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| 229 | int insertPosition = 0;
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| 230 | for (int i = 0; i < bestOpponentOffers.size(); i++) {
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| 231 | if (bestOpponentOffers.get(i).utility > bid.utility)
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| 232 | insertPosition++;
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| 233 | }
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| 234 | bestOpponentOffers.add(insertPosition, bid);
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| 235 | if (bestOpponentOffers.size() > 10)
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| 236 | bestOpponentOffers.remove(10);
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| 237 | }
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| 238 |
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| 239 | private BidTuple getDiscreteIssueVariation(BidTuple bid, int issueId,
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| 240 | int variation) throws Exception {
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| 241 | Bid tmpBid = new Bid(bid.bid);
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| 242 | BidTuple bidTupleTmp = null;
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| 243 | IssueDiscrete issueDiscrete = (IssueDiscrete) tmpBid.getIssues()
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| 244 | .get(issueId);
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| 245 | int temIssueIndex = issueDiscrete.getIndex(issueDiscrete);
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| 246 | if (issueDiscrete.getNumberOfValues() >= temIssueIndex + variation
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| 247 | && temIssueIndex + variation >= 0) {
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| 248 | ValueDiscrete value = issueDiscrete
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| 249 | .getValue(temIssueIndex + variation);
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| 250 | tmpBid = tmpBid.putValue(issueId, value);
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| 251 | double util = getUtility(tmpBid);
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| 252 | bidTupleTmp = new BidTuple(tmpBid, util);
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| 253 | }
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| 254 | return bidTupleTmp;
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| 255 | }
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| 256 |
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| 257 | private BidTuple getRealIssueVariation(BidTuple bid, int issueId,
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| 258 | double variation) throws Exception {
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| 259 | Bid tmpBid = new Bid(bid.bid);
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| 260 | BidTuple bidTupleTmp = null;
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| 261 | IssueReal issueReal = (IssueReal) tmpBid.getIssues().get(issueId);
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| 262 | int temIssueValue = ((ValueInteger) tmpBid.getValue(issueId))
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| 263 | .getValue();
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| 264 | if (issueReal.getUpperBound() >= temIssueValue + variation
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| 265 | && issueReal.getLowerBound() <= temIssueValue + variation) {
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| 266 | ValueReal value = new ValueReal(temIssueValue + variation);
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| 267 | tmpBid = tmpBid.putValue(issueId, value);
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| 268 | double util = getUtility(tmpBid);
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| 269 | bidTupleTmp = new BidTuple(tmpBid, util);
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| 270 | }
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| 271 | return bidTupleTmp;
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| 272 | }
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| 273 |
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| 274 | private BidTuple getIntegerIssueVariation(BidTuple bid, int issueId,
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| 275 | int variation) throws Exception {
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| 276 | Bid tmpBid = new Bid(bid.bid);
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| 277 | BidTuple bidTupleTmp = null;
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| 278 | IssueInteger issueInteger = (IssueInteger) tmpBid.getIssues()
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| 279 | .get(issueId);
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| 280 | int temIssueValue = ((ValueInteger) tmpBid.getValue(issueId))
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| 281 | .getValue();
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| 282 | if (issueInteger.getUpperBound() >= temIssueValue + variation
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| 283 | && issueInteger.getLowerBound() <= temIssueValue + variation) {
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| 284 | ValueInteger value = new ValueInteger(temIssueValue + variation);
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| 285 | tmpBid = tmpBid.putValue(issueId, value);
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| 286 | double util = getUtility(tmpBid);
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| 287 | bidTupleTmp = new BidTuple(tmpBid, util);
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| 288 | }
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| 289 | return bidTupleTmp;
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| 290 | }
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| 291 |
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| 292 | @Override
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| 293 | public Action chooseAction() {
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| 294 | boolean NeverFoundHighUtilityInNeighbourhood = true;
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| 295 | debug("1. choosing action");
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| 296 | // get current time
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| 297 | double time = timeline.getTime();
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| 298 | // calculate maximum round time
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| 299 | if (actionOfPartner != null) {
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| 300 | if (maximumRoundTime < time - lastRoundTime)
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| 301 | maximumRoundTime = time - lastRoundTime;
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| 302 | debug("maximumRoundTime: " + maximumRoundTime);
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| 303 | lastRoundTime = time;
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| 304 | }
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| 305 | Action action = null;
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| 306 | try {
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| 307 | if (actionOfPartner == null) {
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| 308 | lastRoundTime = time;
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| 309 | debug("OFFER: FIRST RANDOM OFFER", 3);
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| 310 | return action = chooseRandomBidAction();
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| 311 | }
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| 312 | if (actionOfPartner instanceof Offer) {
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| 313 | Bid partnerBid = ((Offer) actionOfPartner).getBid();
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| 314 | double offeredUtilFromOpponent = getUtility(partnerBid);
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| 315 |
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| 316 | if (time >= 0.99 && offeredUtilFromOpponent >= 0.75) {
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| 317 | debug("ime >= 0.99 && offeredUtilFromOpponent>= 0.75");
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| 318 | debug("OFFER: STRAIGHT ACCEPT, TIME IS RUNNING OUT, GOOD OFFER",
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| 319 | 3);
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| 320 | return action = new Accept(getAgentID(), partnerBid);
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| 321 | }
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| 322 |
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| 323 | BidTuple opponentBid = new BidTuple(partnerBid,
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| 324 | offeredUtilFromOpponent);
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| 325 | saveBestOpponentBids(opponentBid);
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| 326 |
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| 327 | if (bestOpponentOffer == null
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| 328 | || bestOpponentOffer.utility < offeredUtilFromOpponent)
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| 329 | bestOpponentOffer = opponentBid;
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| 330 |
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| 331 | // Last moments, submit back the opponents best bids
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| 332 | if ((time >= 1 - (maximumRoundTime * 1.09))) {
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| 333 | debug("final round:" + maximumRoundTime);
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| 334 | debug("(time>=1-(maximumRoundTime*1.05)) && bestOpponentOffer.utility >= 0.5");
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| 335 | if (bidToSubmitBack >= bestOpponentOffers.size())
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| 336 | bidToSubmitBack = 0;
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| 337 | debug("OFFER: BEST OF THE OPPONENTS NR " + bidToSubmitBack,
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| 338 | 3);
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| 339 | return action = new Offer(getAgentID(),
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| 340 | bestOpponentOffers.get(bidToSubmitBack++).bid);
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| 341 | }
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| 342 |
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| 343 | updateOpponentProfile(partnerBid, offeredUtilFromOpponent);
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| 344 | updateMinimumBidUtility(partnerBid, offeredUtilFromOpponent);
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| 345 |
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| 346 | debug("3. searching the vicinity of the opp bid");
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| 347 | debug("MINIMUM UTILITY: " + minimumBidUtility, 3);
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| 348 | BidTuple bestBidInTheVicinity = SearchNeighbourhood(
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| 349 | opponentBid);
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| 350 | debug("bestBidInTheVicinity.utility"
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| 351 | + bestBidInTheVicinity.utility);
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| 352 | if (bestBidInTheVicinity.utility < minimumBidUtility) {
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| 353 | debug("4. bad search, going to pick a random");
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| 354 | action = chooseRandomBidAction();
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| 355 |
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| 356 | // if the random returned a null, which means we couldnt
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| 357 | // find a bid before time ran out,
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| 358 | // we offer back the best opponent bid
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| 359 | if (((Offer) action).getBid() == null
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| 360 | && bestOpponentOffer.utility >= 0.5) {
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| 361 | debug("action == null && bestOpponentOffer.utility >= 0.5");
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| 362 | return action = new Offer(getAgentID(),
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| 363 | bestOpponentOffer.bid);
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| 364 | }
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| 365 |
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| 366 | debug("bid Random");
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| 367 | debug("OFFER: RANDOM BID", 3);
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| 368 |
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| 369 | } else {
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| 370 | debug("5. found a good bid in the vicinity");
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| 371 | NeverFoundHighUtilityInNeighbourhood = false;
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| 372 | action = new Offer(getAgentID(), bestBidInTheVicinity.bid);
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| 373 | debug("Bid in bestBidInTheVicinity");
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| 374 | debug("OFFER: OPPONENT VICINITY", 3);
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| 375 | }
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| 376 |
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| 377 | if (NeverFoundHighUtilityInNeighbourhood) {
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| 378 | if (time > 0.8) {
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| 379 | debug("6. time > 0.8, maximumsearchdepth = "
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| 380 | + (int) (initialSearchDepth * 1.5));
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| 381 | maximumSearchDepth = (int) (initialSearchDepth * 1.5);
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| 382 | } else if (time > 0.5) {
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| 383 | debug("7. time > 0.5, maximumsearchdepth = "
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| 384 | + (int) (initialSearchDepth * 1.2));
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| 385 | maximumSearchDepth = (int) (initialSearchDepth * 1.2);
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| 386 | }
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| 387 | }
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| 388 |
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| 389 | Bid myBid = ((Offer) action).getBid();
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| 390 | double myOfferedUtil = getUtility(myBid);
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| 391 |
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| 392 | // accept under certain circumstances
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| 393 | if (isAcceptable(offeredUtilFromOpponent, myOfferedUtil,
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| 394 | time)) {
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| 395 | debug("8. opponents bid is acceptable");
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| 396 | debug("Accept");
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| 397 | debug("OFFER: STRAIGHT ACCEPT", 3);
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| 398 | action = new Accept(getAgentID(), partnerBid);
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| 399 | }
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| 400 |
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| 401 | }
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| 402 |
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| 403 | } catch (Exception e) {
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| 404 | debug("Exception in ChooseAction:" + e.getMessage());
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| 405 | return action = new Offer(getAgentID(), bestOpponentOffer.bid); // best
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| 406 | // guess
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| 407 | // if
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| 408 | // things
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| 409 | // go
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| 410 | // wrong.
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| 411 | }
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| 412 | debug("9. end of choose action");
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| 413 | return action;
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| 414 | }
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| 415 |
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| 416 | private void updateOpponentProfile(Bid partnerBid,
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| 417 | double offeredUtilFromOpponent) {
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| 418 | countOpponentOffers++;
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| 419 | if (offeredUtilFromOpponent > minimumCooperativeUtility) {
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| 420 | numberOfCooperativeUtilities++;
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| 421 | }
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| 422 | if ((numberOfCooperativeUtilities
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| 423 | / countOpponentOffers) > cooperationthreshold) {
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| 424 | opponentIsCooperative = true;
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| 425 | debug("-- OPPONENT IS COOPERATIVE", 1);
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| 426 | } else {
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| 427 | opponentIsCooperative = false;
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| 428 | debug("-- OPPONENT IS HARD HEADED", 1);
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| 429 | }
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| 430 | }
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| 431 |
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| 432 | private boolean isAcceptable(double offeredUtilFromOpponent,
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| 433 | double myOfferedUtil, double time) throws Exception {
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| 434 | double discount_utility_factor = utilitySpace.getDiscountFactor();
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| 435 | acceptanceBidUtility = initialMinimumBidUtility
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| 436 | * Math.pow(discount_utility_factor, time);
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| 437 |
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| 438 | if (time >= 0.9) {
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| 439 | initialMinimumBidUtility = 0.85;
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| 440 | }
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| 441 |
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| 442 | if (offeredUtilFromOpponent >= acceptanceBidUtility) {
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| 443 | debug("offeredUtilFromOpponent >= " + acceptanceBidUtility);
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| 444 | return true;
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| 445 | }
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| 446 |
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| 447 | if (offeredUtilFromOpponent >= myOfferedUtil) {
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| 448 | debug("offeredUtilFromOpponent >= myOfferedUtil");
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| 449 | return true;
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| 450 | }
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| 451 |
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| 452 | return false;
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| 453 | }
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| 454 |
|
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| 455 | private Action chooseRandomBidAction() {
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| 456 | Bid nextBid = null;
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| 457 | try {
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| 458 | nextBid = getRandomBid();
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| 459 | } catch (Exception e) {
|
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| 460 | debug("Problem with received bid:" + e.getMessage()
|
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| 461 | + ". cancelling bidding");
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| 462 | }
|
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| 463 | return (new Offer(getAgentID(), nextBid));
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| 464 | }
|
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| 465 |
|
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| 466 | private Bid getRandomBid() throws Exception {
|
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| 467 | HashMap<Integer, Value> values = new HashMap<Integer, Value>(); // pairs
|
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| 468 | // <issuenumber,chosen
|
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| 469 | // value
|
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| 470 | // string>
|
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| 471 | List<Issue> issues = utilitySpace.getDomain().getIssues();
|
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| 472 | Random randomnr = new Random();
|
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| 473 |
|
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| 474 | debug("R 1.beginning Random pick");
|
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| 475 |
|
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| 476 | Bid bid = null;
|
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| 477 |
|
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| 478 | int tries = 0;
|
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| 479 | int absoluteTries = 0;
|
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| 480 | float minimumUtilTolerance = 0;
|
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| 481 | do {
|
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| 482 | tries++;
|
---|
| 483 | absoluteTries++;
|
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| 484 | if (tries > 2000)// && minimumUtilTolerance<0.09)
|
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| 485 | {
|
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| 486 | debug("R 1.increasing tolerance");
|
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| 487 | minimumUtilTolerance += 0.001;
|
---|
| 488 | tries = 0;
|
---|
| 489 | }
|
---|
| 490 |
|
---|
| 491 | for (Issue lIssue : issues) {
|
---|
| 492 | switch (lIssue.getType()) {
|
---|
| 493 | case DISCRETE:
|
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| 494 | IssueDiscrete lIssueDiscrete = (IssueDiscrete) lIssue;
|
---|
| 495 | int optionIndex = randomnr
|
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| 496 | .nextInt(lIssueDiscrete.getNumberOfValues());
|
---|
| 497 | values.put(lIssue.getNumber(),
|
---|
| 498 | lIssueDiscrete.getValue(optionIndex));
|
---|
| 499 | break;
|
---|
| 500 | case REAL:
|
---|
| 501 | IssueReal lIssueReal = (IssueReal) lIssue;
|
---|
| 502 | int optionInd = randomnr.nextInt(
|
---|
| 503 | lIssueReal.getNumberOfDiscretizationSteps() - 1);
|
---|
| 504 | values.put(lIssueReal.getNumber(), new ValueReal(lIssueReal
|
---|
| 505 | .getLowerBound()
|
---|
| 506 | + (lIssueReal.getUpperBound()
|
---|
| 507 | - lIssueReal.getLowerBound()) * (optionInd)
|
---|
| 508 | / (lIssueReal
|
---|
| 509 | .getNumberOfDiscretizationSteps())));
|
---|
| 510 | break;
|
---|
| 511 | case INTEGER:
|
---|
| 512 | IssueInteger lIssueInteger = (IssueInteger) lIssue;
|
---|
| 513 | int optionIndex2 = lIssueInteger.getLowerBound()
|
---|
| 514 | + randomnr.nextInt(lIssueInteger.getUpperBound()
|
---|
| 515 | - lIssueInteger.getLowerBound());
|
---|
| 516 | values.put(lIssueInteger.getNumber(),
|
---|
| 517 | new ValueInteger(optionIndex2));
|
---|
| 518 | break;
|
---|
| 519 | default:
|
---|
| 520 | throw new Exception("issue type " + lIssue.getType()
|
---|
| 521 | + " not supported by SimpleAgent2");
|
---|
| 522 | }
|
---|
| 523 | }
|
---|
| 524 | bid = new Bid(utilitySpace.getDomain(), values);
|
---|
| 525 |
|
---|
| 526 | } while (getUtility(bid) < minimumBidUtility - minimumUtilTolerance);
|
---|
| 527 | debug("R 2.Generated a random bid. current utility: " + getUtility(bid)
|
---|
| 528 | + ", tolerance: " + minimumUtilTolerance + "; tries: "
|
---|
| 529 | + absoluteTries);
|
---|
| 530 |
|
---|
| 531 | Bid randomBid = bid;
|
---|
| 532 |
|
---|
| 533 | // // search the vicinity of the random offer
|
---|
| 534 | if (randomnr.nextFloat() < randomSearchRatio) {
|
---|
| 535 | debug("R 3.Going to search the vicinity of the random pick");
|
---|
| 536 | bid = SearchNeighbourhood(new BidTuple(bid, getUtility(bid)),
|
---|
| 537 | maximumSearchDepthForOurBids).bid;
|
---|
| 538 | }
|
---|
| 539 |
|
---|
| 540 | if (bid != randomBid) {
|
---|
| 541 | debug("OFFER: RANDOM VICINITY BID", 3);
|
---|
| 542 | } else {
|
---|
| 543 | debug("OFFER: RANDOM BID", 3);
|
---|
| 544 | }
|
---|
| 545 |
|
---|
| 546 | debug("R 4.Random pick finished");
|
---|
| 547 | return bid;
|
---|
| 548 | }
|
---|
| 549 |
|
---|
| 550 | private void updateMinimumBidUtility(Bid partnerBid,
|
---|
| 551 | double offeredUtilFromOpponent) {
|
---|
| 552 |
|
---|
| 553 | double time = timeline.getTime();
|
---|
| 554 | double discount_utility_factor = utilitySpace.getDiscountFactor();
|
---|
| 555 | if (time >= 0.5 && opponentIsCooperative) {
|
---|
| 556 | minimumBidUtility = 0.88 * Math.pow(discount_utility_factor, time);
|
---|
| 557 | debug("2. ADJUSTING MINIMUM UTILITY: " + minimumBidUtility);
|
---|
| 558 | }
|
---|
| 559 | debug("2. MINIMUM UTILITY: " + minimumBidUtility);
|
---|
| 560 | debug("2. discount factor: " + discount_utility_factor);
|
---|
| 561 | }
|
---|
| 562 |
|
---|
| 563 | private void debug(String line) {
|
---|
| 564 | debug(line, 0);
|
---|
| 565 | }
|
---|
| 566 |
|
---|
| 567 | private void debug(String line, int priority) {
|
---|
| 568 | if (priority >= 4)
|
---|
| 569 | System.out.println(line);
|
---|
| 570 | }
|
---|
| 571 |
|
---|
| 572 | private class BidTuple {
|
---|
| 573 | public Bid bid;
|
---|
| 574 | public double utility;
|
---|
| 575 |
|
---|
| 576 | public BidTuple(Bid bid, double utility) {
|
---|
| 577 | this.bid = bid;
|
---|
| 578 | this.utility = utility;
|
---|
| 579 | }
|
---|
| 580 | }
|
---|
| 581 |
|
---|
| 582 | @Override
|
---|
| 583 | public String getDescription() {
|
---|
| 584 | return "ANAC2014 compatible with non-linear utility spaces";
|
---|
| 585 | }
|
---|
| 586 |
|
---|
| 587 | }
|
---|