source: src/main/java/negotiator/boaframework/opponentmodel/BayesianModel.java@ 165

package negotiator.boaframework.opponentmodel;

import java.util.HashSet;
import java.util.Map;
import java.util.Set;

import agents.bayesianopponentmodel.BayesianOpponentModel;
import agents.bayesianopponentmodel.OpponentModelUtilSpace;
import genius.core.Bid;
import genius.core.boaframework.BOAparameter;
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 BayesianModel. Note that this model only works on small domains.
 * 
 * Adapted by Mark Hendrikx to be compatible with 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
 * 
 * @author Mark Hendrikx
 */
public class BayesianModel extends OpponentModel {

        /** Reference to the normal Bayesian Opponent Model */
        private BayesianOpponentModel model;
        /** Index of the first issue weight */
        private int startingBidIssue = 0;

        /**
         * Initializes the opponent model. If the parameter m is set to a value
         * greater than zero, only the best hypothesis about the opponent's utility
         * space is used.
         */
        @Override
        public void init(NegotiationSession negotiationSession, Map<String, Double> parameters) {
                this.negotiationSession = negotiationSession;
                model = new BayesianOpponentModel((AdditiveUtilitySpace) negotiationSession.getUtilitySpace());
                if (parameters.get("m") != null) {
                        model.setMostProbableUSHypsOnly(parameters.get("m") > 0);
                } else {
                        model.setMostProbableUSHypsOnly(false);
                        System.out.println("Constant \"m\" was not set. Assumed default value.");
                }
                while (!testIndexOfFirstIssue(negotiationSession.getUtilitySpace().getDomain().getRandomBid(null),
                                startingBidIssue)) {
                        startingBidIssue++;
                }
        }

        /**
         * Just an auxiliar funtion 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;
        }

        /**
         * Update the opponent model by updating all hypotheses about the opponent's
         * preference profile.
         * 
         * @param opponentBid
         * @param time
         *            of offering
         */
        @Override
        public void updateModel(Bid opponentBid, double time) {
                try {
                        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;
        }

        /**
         * @return estimated issue weight of the given issue.
         */
        public double getWeight(Issue issue) {
                return model.getNormalizedWeight(issue, startingBidIssue);
        }

        /**
         * @return utilityspace created by using the opponent model adapter.
         */
        @Override
        public AdditiveUtilitySpace getOpponentUtilitySpace() {
                return new OpponentModelUtilSpace(model);
        }

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

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

        @Override
        public Set<BOAparameter> getParameterSpec() {
                Set<BOAparameter> set = new HashSet<BOAparameter>();
                set.add(new BOAparameter("m", 0.0, "If higher than 0 the most probable hypothesis is only used"));
                return set;
        }
}