source: src/main/java/negotiator/boaframework/opponentmodel/ScalableBayesianModel.java@ 162

package negotiator.boaframework.opponentmodel;

import java.util.Map;

import agents.bayesianopponentmodel.BayesianOpponentModelScalable;
import agents.bayesianopponentmodel.OpponentModelUtilSpace;
import genius.core.Bid;
import genius.core.boaframework.NegotiationSession;
import genius.core.boaframework.OpponentModel;
import genius.core.issue.Issue;
import genius.core.issue.ValueDiscrete;
import genius.core.utility.AdditiveUtilitySpace;

/**
 * Adapter for BayesianOpponentModelScalable for the BOA framework.
 *
 * Tim Baarslag, Koen Hindriks, Mark Hendrikx, Alex Dirkzwager and Catholijn M.
 * Jonker. Decoupling Negotiating Agents to Explore the Space of Negotiation
 * Strategies
 *
 * KNOWN BUGS: 1. Opponent model does not take the opponent's strategy into
 * account, in contrast to the original paper which depicts an assumption about
 * the opponent'strategy which adapts over time.
 * 
 * 2. The opponent model becomes invalid after a while as NaN occurs in some
 * hypotheses, corrupting the overall estimation.
 * 
 * @author Mark Hendrikx
 */
public class ScalableBayesianModel extends OpponentModel {

        private BayesianOpponentModelScalable model;
        private int startingBidIssue = 0;

        @Override
        public void init(NegotiationSession negoSession, Map<String, Double> parameters) {
                initializeModel(negoSession);
        }

        public void initializeModel(NegotiationSession negotiationSession) {
                this.negotiationSession = negotiationSession;
                while (!testIndexOfFirstIssue(negotiationSession.getUtilitySpace().getDomain().getRandomBid(null),
                                startingBidIssue)) {
                        startingBidIssue++;
                }

                model = new BayesianOpponentModelScalable((AdditiveUtilitySpace) negotiationSession.getUtilitySpace());

        }

        /**
         * Just an auxiliary function to calculate the index where issues start on a
         * bid because we found out that it depends on the domain.
         * 
         * @return true when the received index is the proper index
         */
        private boolean testIndexOfFirstIssue(Bid bid, int i) {
                try {
                        @SuppressWarnings("unused")
                        ValueDiscrete valueOfIssue = (ValueDiscrete) bid.getValue(i);
                } catch (Exception e) {
                        return false;
                }
                return true;
        }

        @Override
        public void updateModel(Bid opponentBid, double time) {
                try {
                        // time is not used by this opponent model
                        model.updateBeliefs(opponentBid);
                } catch (Exception e) {
                        e.printStackTrace();
                }
        }

        @Override
        public double getBidEvaluation(Bid bid) {
                try {
                        return model.getNormalizedUtility(bid);
                } catch (Exception e) {
                        e.printStackTrace();
                }
                return 0;
        }

        public double getWeight(Issue issue) {
                return model.getNormalizedWeight(issue, startingBidIssue);
        }

        @Override
        public AdditiveUtilitySpace getOpponentUtilitySpace() {
                return new OpponentModelUtilSpace(model);
        }

        public void cleanUp() {
                super.cleanUp();
        }

        @Override
        public String getName() {
                return "Scalable Bayesian Model";
        }
}