[127] | 1 | package negotiator.boaframework.opponentmodel;
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| 2 |
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| 3 | import java.util.ArrayList;
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| 4 | import java.util.Map;
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| 5 |
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| 6 | import genius.core.Bid;
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| 7 | import genius.core.boaframework.NegotiationSession;
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| 8 | import genius.core.boaframework.OpponentModel;
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| 9 | import genius.core.issue.Issue;
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| 10 | import genius.core.issue.IssueDiscrete;
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| 11 | import genius.core.issue.Value;
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| 12 | import genius.core.issue.ValueDiscrete;
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| 13 | import genius.core.utility.AdditiveUtilitySpace;
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| 14 | import negotiator.boaframework.opponentmodel.agentx.DiscreteIssueProcessor;
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| 15 | import negotiator.boaframework.opponentmodel.agentx.DiscreteValueProcessor;
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| 16 | import negotiator.boaframework.opponentmodel.tools.UtilitySpaceAdapter;
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| 17 |
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| 18 | /**
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| 19 | * Class for building an opponent model in discrete space. Contains value- and
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| 20 | * issue-processors to deal with opponent bids.
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| 21 | *
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| 22 | * Adapted by Mark Hendrikx to be compatible with the BOA framework.
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| 23 | *
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| 24 | * Tim Baarslag, Koen Hindriks, Mark Hendrikx, Alex Dirkzwager and Catholijn M.
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| 25 | * Jonker. Decoupling Negotiating Agents to Explore the Space of Negotiation
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| 26 | * Strategies
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| 27 | *
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| 28 | * @author E. Jacobs, Mark Hendrikx
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| 29 | */
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| 30 | public class AgentXFrequencyModel extends OpponentModel {
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| 31 |
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| 32 | private DiscreteIssueProcessor issueProcessor;
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| 33 | private ArrayList<IssueDiscrete> discreteIssueList = new ArrayList<IssueDiscrete>();
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| 34 | private ArrayList<DiscreteValueProcessor> valueProcessList = new ArrayList<DiscreteValueProcessor>();
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| 35 | private int startingBidIssue = 0;
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| 36 |
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| 37 | /**
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| 38 | * Creates an opponent model for the given utility space
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| 39 | *
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| 40 | * @param u
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| 41 | * The utility space
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| 42 | */
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| 43 | @Override
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| 44 | public void init(NegotiationSession negotiationSession, Map<String, Double> parameters) {
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| 45 | this.negotiationSession = negotiationSession;
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| 46 | issueProcessor = new DiscreteIssueProcessor(negotiationSession.getUtilitySpace().getDomain());
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| 47 | discreteIssueList = issueProcessor.getIssueList();
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| 48 | createValueProcessors();
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| 49 | while (!testIndexOfFirstIssue(negotiationSession.getUtilitySpace().getDomain().getRandomBid(null),
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| 50 | startingBidIssue)) {
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| 51 | startingBidIssue++;
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| 52 | }
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| 53 | }
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| 54 |
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| 55 | /**
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| 56 | * Just an auxiliar funtion to calculate the index where issues start on a
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| 57 | * bid because we found out that it depends on the domain.
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| 58 | *
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| 59 | * @return true when the received index is the proper index
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| 60 | */
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| 61 | private boolean testIndexOfFirstIssue(Bid bid, int i) {
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| 62 | try {
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| 63 | @SuppressWarnings("unused")
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| 64 | ValueDiscrete valueOfIssue = (ValueDiscrete) bid.getValue(i);
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| 65 | } catch (Exception e) {
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| 66 | return false;
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| 67 | }
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| 68 | return true;
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| 69 | }
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| 70 |
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| 71 | /**
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| 72 | * Creates discreteValueProcessors for all issues
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| 73 | */
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| 74 | private void createValueProcessors() {
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| 75 |
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| 76 | for (IssueDiscrete i : discreteIssueList) {
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| 77 | valueProcessList.add(new DiscreteValueProcessor(i.getValues()));
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| 78 | }
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| 79 | }
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| 80 |
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| 81 | /**
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| 82 | * Returns a DiscreteValueProcessor, allowing the use of several methods
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| 83 | *
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| 84 | * @param i
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| 85 | * The issue for which a ValueProcessor is needed
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| 86 | * @return a DiscreteValueProcessor for the issue
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| 87 | */
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| 88 | public DiscreteValueProcessor getValueProcessor(IssueDiscrete i) {
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| 89 |
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| 90 | int index = discreteIssueList.indexOf(i);
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| 91 |
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| 92 | if (index != -1)
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| 93 | return valueProcessList.get(index);
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| 94 |
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| 95 | return null;
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| 96 |
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| 97 | }
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| 98 |
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| 99 | /**
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| 100 | * Gives the discreteIssueProcessor for this opponent model
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| 101 | *
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| 102 | * @return The discreteIssueProcessor
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| 103 | */
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| 104 | public DiscreteIssueProcessor getIssueProcessor() {
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| 105 | return issueProcessor;
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| 106 | }
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| 107 |
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| 108 | /**
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| 109 | * Processes a bid, possibly changing value ranks for the internal opponent
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| 110 | * model. Currently, values on which more bids are made are ranked higher.
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| 111 | *
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| 112 | * @param b
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| 113 | * The bid done by the opponent
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| 114 | * @param time
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| 115 | * Time at which the bid was done
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| 116 | */
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| 117 | public void updateModel(Bid b, double time) {
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| 118 |
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| 119 | issueProcessor.adaptWeightsByBid(b, time);
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| 120 | for (IssueDiscrete i : discreteIssueList) {
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| 121 | Value v = null;
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| 122 |
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| 123 | try {
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| 124 | v = b.getValue(i.getNumber());
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| 125 | } catch (Exception e) {
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| 126 | }
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| 127 |
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| 128 | if (v != null) {
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| 129 | ValueDiscrete vDisc = (ValueDiscrete) v;
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| 130 | getValueProcessor(i).addBidForValue(vDisc);
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| 131 | }
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| 132 | }
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| 133 | }
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| 134 |
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| 135 | /**
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| 136 | * Gives the normalized value rank of some value within a certain Issue
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| 137 | *
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| 138 | * @param issueIndex
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| 139 | * The index of the issue. Same index as in the ArrayList
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| 140 | * provided by utilitySpace.getDomain().getIssues()
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| 141 | * @param valueOfIssue
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| 142 | * The value from that issue for which the normalized rank is
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| 143 | * required
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| 144 | * @return The normalized valueRank for the value of the issue given
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| 145 | */
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| 146 | public double getEvaluationOfValue(int issueIndex, ValueDiscrete valueOfIssue) {
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| 147 | return valueProcessList.get(issueIndex).getNormalizedValueRank(valueOfIssue);
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| 148 | }
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| 149 |
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| 150 | /**
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| 151 | * Calculates the utility to our opponent of the bid received as a parameter
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| 152 | * using the current knowledge given by our opponent model
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| 153 | *
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| 154 | * @param bid
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| 155 | * @return utility value for our opponent
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| 156 | */
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| 157 | public double getBidEvaluation(Bid bid) {
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| 158 |
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| 159 | double utility = 0;
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| 160 |
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| 161 | // Taking into account that Opponent Issue list is in the same our of
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| 162 | // the domain
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| 163 | int nrIssues = negotiationSession.getUtilitySpace().getDomain().getIssues().size();
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| 164 |
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| 165 | for (int i = 0; i < nrIssues; i++) {
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| 166 | try {
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| 167 | // It was needed to use an auxiliar variable startingBidIssue,
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| 168 | // because we found out it varies from domain to domain
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| 169 | ValueDiscrete valueOfIssue = (ValueDiscrete) bid.getValue(i + startingBidIssue);
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| 170 | double w = getIssueProcessor().getWeightByIssue(
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| 171 | (IssueDiscrete) negotiationSession.getUtilitySpace().getDomain().getIssues().get(i));
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| 172 | double eval = getEvaluationOfValue(i, valueOfIssue);
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| 173 |
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| 174 | utility += w * eval;
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| 175 |
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| 176 | } catch (Exception e) {
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| 177 | // e.printStackTrace();
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| 178 | }
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| 179 | }
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| 180 |
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| 181 | return utility;
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| 182 | }
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| 183 |
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| 184 | /**
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| 185 | * @return the weight of the issue.
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| 186 | */
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| 187 | public double getWeight(Issue issue) {
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| 188 | return getIssueProcessor().getWeightByIssue((IssueDiscrete) issue);
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| 189 | }
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| 190 |
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| 191 | /**
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| 192 | * @return utilityspace created by using the opponent model adapter.
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| 193 | */
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| 194 | public AdditiveUtilitySpace getOpponentUtilitySpace() {
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| 195 | return new UtilitySpaceAdapter(this, negotiationSession.getUtilitySpace().getDomain());
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| 196 | }
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| 197 |
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| 198 | public String getName() {
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| 199 | return "AgentX Frequency Model";
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| 200 | }
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[1] | 201 | } |
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