source: src/main/java/agents/anac/y2019/podagent/Group1_OM.java@ 319

package agents.anac.y2019.podagent;

import java.util.*;
import java.util.Map.Entry;

import genius.core.Bid;
import genius.core.BidHistory;
import genius.core.bidding.BidDetails;
import genius.core.boaframework.BOAparameter;
import genius.core.boaframework.NegotiationSession;
import genius.core.boaframework.OpponentModel;
import genius.core.issue.IssueDiscrete;
import genius.core.issue.Objective;
import genius.core.issue.ValueDiscrete;
import genius.core.utility.AdditiveUtilitySpace;
import genius.core.utility.Evaluator;
import genius.core.utility.EvaluatorDiscrete;

public class Group1_OM extends OpponentModel {
        
        boolean hardHeadedUntilNow = false;
        private int amountOfIssues;
        private double lastStepBidsAverage = 0.0;

        @Override
        public void init(NegotiationSession negotiationSession, Map<String, Double> parameters) {
                this.negotiationSession = negotiationSession;
                opponentUtilitySpace = (AdditiveUtilitySpace) negotiationSession
                                .getUtilitySpace().copy();
                amountOfIssues = opponentUtilitySpace.getDomain().getIssues().size();

                initializeModel();
        }

        /**
         * Model update function altered from the HardHeaded frequency model.
         *
         * Instead of incrementing issue weights after two of the same successive values in a bid,
         * the range of frequencies per issue is calculated, normalized and used as weight instead
         *
         *
         * @param opponentBid
         * @param time
         */
        @Override
        public void updateModel(Bid opponentBid, double time) {
                if (negotiationSession.getOpponentBidHistory().size() < 1) {
                        return;
                }
                
                BidDetails oppBid = negotiationSession.getOpponentBidHistory().getHistory().get(negotiationSession.getOpponentBidHistory().size() - 1);
                
                // Like HardHeaded, add a constant value of 1 to each value from the bid
                try {
                        for (Entry<Objective, Evaluator> e : opponentUtilitySpace.getEvaluators()) {
                                EvaluatorDiscrete value = (EvaluatorDiscrete) e.getValue();
                                IssueDiscrete issue = ((IssueDiscrete) e.getKey());

                                ValueDiscrete issuevalue = (ValueDiscrete) oppBid.getBid().getValue(issue.getNumber());
                                Integer eval = value.getEvaluationNotNormalized(issuevalue);
                                value.setEvaluation(issuevalue, (1 + eval));
                        }
                } catch (Exception ex) {
                        ex.printStackTrace();
                }
                
                // Calculate the difference between the highest value and the lowest value for each issue
                double totalDist = 0;
                Map<IssueDiscrete,Integer> distances = new HashMap<IssueDiscrete,Integer>();
                for (Entry<Objective, Evaluator> e : opponentUtilitySpace.getEvaluators()) {
                        try {
                                EvaluatorDiscrete value = (EvaluatorDiscrete) e.getValue();
                                IssueDiscrete issue = ((IssueDiscrete) e.getKey());
                                Integer max = 0;
                                Integer min = Integer.MAX_VALUE;
                                for (ValueDiscrete vd : ((IssueDiscrete) e.getKey()).getValues()) {
                                        Integer eval = value.getEvaluationNotNormalized(vd);
                                        min = eval < min ? eval : min;
                                        max = eval > max ? eval : max;
                                }
                                Integer dist = max - min;
                                totalDist += max - min;
                                distances.put(issue, dist);
                        } catch (Exception ex) {
                                ex.printStackTrace();
                        }
                }

                // Update weights
                for (Entry<Objective, Evaluator> e : opponentUtilitySpace.getEvaluators()) {
                        try {
                                EvaluatorDiscrete value = (EvaluatorDiscrete) e.getValue();
                                IssueDiscrete issue = ((IssueDiscrete) e.getKey());
                                double dist = (double) distances.get(issue);
                                // normalize the distance value and update the issue weight
                                double newWeight = ((double) dist) / totalDist;
                                opponentUtilitySpace.setWeight(issue, newWeight);
                        } catch (Exception ex) {
                                ex.printStackTrace();
                        }
                }
        }

        @Override
        public double getBidEvaluation(Bid bid) {
                double result = 0;
                try {
                        result = opponentUtilitySpace.getUtility(bid);
                } catch (Exception e) {
                        e.printStackTrace();
                }
                return result;
        }

        @Override
        public String getName() {
                return "Group1_OM";
        }

        @Override
        public Set<BOAparameter> getParameterSpec() {
                Set<BOAparameter> set = new HashSet<BOAparameter>();
                set.add(new BOAparameter("l", 0.2,
                                "The learning coefficient determines how quickly the issue weights are learned"));
                return set;
        }

        /**
         * Init to flat weight and flat evaluation distribution
         */
        private void initializeModel() {
                double commonWeight = 1D / amountOfIssues;

                for (Entry<Objective, Evaluator> e : opponentUtilitySpace
                                .getEvaluators()) {

                        opponentUtilitySpace.unlock(e.getKey());
                        e.getValue().setWeight(commonWeight);
                        try {
                                // set all value weights to one (they are normalized when
                                // calculating the utility)
                                for (ValueDiscrete vd : ((IssueDiscrete) e.getKey())
                                                .getValues())
                                        ((EvaluatorDiscrete) e.getValue()).setEvaluation(vd, 1);
                        } catch (Exception ex) {
                                ex.printStackTrace();
                        }
                }
        }


        //Should only be called when concede() is called        
        public double getOpponentSentiment(double lastSteptime) {
                //Not sure why this happens sometimes :/
                if(negotiationSession == null)
                        return 0.5;
                
                //For the first step, use the first bid ever
                if(lastStepBidsAverage == 0 && negotiationSession.getOpponentBidHistory().size() != 0) {
                        lastStepBidsAverage = getBidEvaluation(negotiationSession.getOpponentBidHistory().getLastBidDetails().getBid());
                        return 0.5;
                }
                
                double newLastBidsAverage = negotiationSession.getOpponentBidHistory()
                                .filterBetweenTime(lastSteptime, this.negotiationSession.getTime()).getHistory().stream().mapToDouble(a -> getBidEvaluation(a.getBid())).average().orElse(0.0);
                                
                double opponentSentiment = (newLastBidsAverage - lastStepBidsAverage);
                //Update last step average
                lastStepBidsAverage = newLastBidsAverage;       
                if(opponentSentiment < 0) {
                        return opponentSentiment - 0.5;
                }else if(opponentSentiment > 0) {
                        return opponentSentiment + 0.5;
                }else {
                        return 0;
                }
        }
        
        /**
         * Counts the amount of different bids offered by the opponent to determine whether he is following a hard headed strategy
         * @return hard headed status of the opponent
         */
        public boolean isHardHeaded() {
                BidHistory hist = negotiationSession.getOpponentBidHistory();
                int diffBids = 0;
                ArrayList seenBids = new ArrayList<Bid>();
                for(BidDetails b : hist.getHistory()) {
                        Bid bid = b.getBid();
                        if(!seenBids.contains(bid)) {
                                seenBids.add(bid);
                                diffBids++;
                        }
                }
                if(diffBids > 3) {
                        return false;
                }
                return true;
        }

}