1 | package agents.rlboa;
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2 | import genius.core.Bid;
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3 | import genius.core.actions.Action;
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4 | import genius.core.boaframework.BOAagentBilateral;
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5 | import genius.core.boaframework.OutcomeSpace;
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6 | import genius.core.boaframework.SortedOutcomeSpace;
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7 | import genius.core.protocol.BilateralAtomicNegotiationSession;
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8 | import negotiator.boaframework.acceptanceconditions.other.AC_Next;
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9 | import negotiator.boaframework.offeringstrategy.other.TimeDependent_Offering;
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10 | import negotiator.boaframework.omstrategy.BestBid;
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11 | import negotiator.boaframework.opponentmodel.AgentXFrequencyModel;
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12 | import negotiator.boaframework.opponentmodel.PerfectModel;
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13 |
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14 | import java.io.File;
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15 | import java.util.ArrayList;
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16 | import java.util.HashMap;
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17 | import java.util.List;
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18 |
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19 | public class OppositionCalculator extends BOAagentBilateral {
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20 | @Override
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21 | public void agentSetup() {
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22 |
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23 |
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24 | HashMap<String, Double> params = new HashMap<String, Double>();
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25 |
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26 | // TODO: implement perfect opponent model
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27 | opponentModel = new AgentXFrequencyModel();
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28 | opponentModel.init(this.negotiationSession, params);
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29 |
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30 | offeringStrategy = new TimeDependent_Offering();
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31 |
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32 | // Accept if the incoming offer is higher than what you would offer yourself
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33 | acceptConditions = new AC_Next(negotiationSession, offeringStrategy, 1, 0);
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34 |
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35 | // Opponent model strategy always selects best bid it has available
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36 | omStrategy = new BestBid();
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37 | omStrategy.init(negotiationSession, opponentModel, params);
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38 | setDecoupledComponents(acceptConditions, offeringStrategy, opponentModel, omStrategy);
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39 |
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40 | OutcomeSpace outcomeSpace = new OutcomeSpace(negotiationSession.getUtilitySpace());
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41 | this.negotiationSession.setOutcomeSpace(outcomeSpace);
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42 |
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43 | System.out.print("Opposition:");
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44 | System.out.println(this.calculateOpposition());
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45 | }
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46 |
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47 | @Override
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48 | public String getName() {
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49 | return "Opposition Calculator";
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50 | }
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51 |
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52 | private double calculateOpposition() {
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53 | List<Bid> allOutcomes = this.negotiationSession.getOutcomeSpace().getAllBidsWithoutUtilities();
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54 | double shortestDistanceToPerfect = Math.hypot(1, 1);
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55 |
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56 | for (Bid bid : allOutcomes) {
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57 | double x_util = this.getUtility(bid);
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58 | double y_util = this.opponentModel.getBidEvaluation(bid);
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59 | double distance = Math.hypot(1 - x_util, 1 - y_util);
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60 |
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61 | // System.out.println(String.format("%s -- OppModel: %s", bid, y_util));
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62 | if (distance < shortestDistanceToPerfect) {
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63 | shortestDistanceToPerfect = distance;
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64 | }
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65 | }
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66 |
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67 | return shortestDistanceToPerfect;
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68 | }
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69 | }
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