source: src/main/java/agents/anac/y2011/Gahboninho/Gahboninho.java

package agents.anac.y2011.Gahboninho;

import genius.core.Agent;
import genius.core.Bid;
import genius.core.actions.Accept;
import genius.core.actions.Action;
import genius.core.actions.Offer;
import genius.core.utility.AdditiveUtilitySpace;

// The agent is similar to a bully.
// on the first few bids it steadily goes down to 0.9 of utility to make sure that if the opponent is trying to 
// profile me, he could do it more easily.
// after that, it goes  totally selfish and almost giving up no points.
// more over, the nicer the opponent is (Noise serves as a "niceness" estimation) the more selfish this agent gets.
// only at the last few seconds the agent panics and gives up his utility.
// I believe this is an excellent strategy, but sadly we did not have enough manpower and time
// to calibrate it and make it shine :(
// an opponent-model would have helped us improving the result on panic stages, and the noise(niceness) calculation is too rough.

public class Gahboninho extends Agent {
        final int PlayerCount = 8; // if player count is 10, then we
        // may give 10 points to opponent in order to give 1 point to ourselves

        boolean WereBidsFiltered = false;
        OpponnentModel OM;
        IssueManager IM;

        @Override
        public void init() {
                super.init();
                OM = new OpponnentModel((AdditiveUtilitySpace) utilitySpace, timeline);
                IM = new IssueManager((AdditiveUtilitySpace) utilitySpace, timeline,
                                OM);
                IM.Noise *= IM.GetDiscountFactor();
        }

        @Override
        public String getName() {
                return "Gahboninho V3";
        }

        Bid previousBid = null;
        Bid OpponentBid = null;

        @Override
        public void ReceiveMessage(Action opponentAction) {
                this.previousBid = this.OpponentBid;

                if (opponentAction instanceof Offer) {
                        OpponentBid = ((Offer) opponentAction).getBid();
                        if (this.previousBid != null) {
                                try {
                                        this.IM.ProcessOpponentBid(this.OpponentBid);
                                        OM.UpdateImportance(OpponentBid);
                                } catch (Exception e) {
                                        // Too bad
                                }
                        } else {
                                try {
                                        this.IM.learnBids(this.OpponentBid);

                                } // learn from the first opp. bid
                                catch (Exception e) {

                                }
                        }
                }
        }

        int RoundCount = 0;

        int FirstActions = 40;
        int TotalFirstActions = 40;

        @Override
        public Action chooseAction() {
                try {
                        // on the first few rounds don't get tempted so fast
                        if (FirstActions > 0 && OpponentBid != null
                                        && utilitySpace.getUtility(OpponentBid) > 0.95)
                                return new Accept(this.getAgentID(), OpponentBid);

                        double threshold = IM.GetMinimumUtilityToAccept();
                        if (OpponentBid != null
                                        && utilitySpace.getUtility(OpponentBid) >= threshold) {
                                return new Accept(this.getAgentID(), OpponentBid);
                        }

                        ++RoundCount;
                        if (WereBidsFiltered == false && (timeline
                                        .getTime() > IM.GetDiscountFactor() * 0.9
                                        || timeline.getTime()
                                                        + 3 * IM.BidsCreationTime > 1)) /*
                                                                                                                         * we must filter to
                                                                                                                         * make last bids
                                                                                                                         * efficient
                                                                                                                         */
                        {
                                WereBidsFiltered = true;

                                int DesiredBidcount = (int) (RoundCount
                                                * (1 - timeline.getTime()));

                                if (IM.Bids.size() > 200) // if we won't filter many bids
                                                                                        // anyway, don't take the chance of
                                                                                        // filtering
                                {
                                        IM.Bids = OM.FilterBids(IM.Bids, DesiredBidcount);
                                }
                        }

                } catch (Exception e) {
                        e.printStackTrace();
                }

                // on the first time we act offer max bid
                if (this.previousBid == null) {
                        try {
                                IM.AddMyBidToStatistics(this.IM.getMaxBid());
                        } catch (Exception e2) {
                        }
                        return new Offer(this.getAgentID(), this.IM.getMaxBid());
                }

                Bid myBid;
                if (FirstActions >= 0 && timeline.getTime() < 0.15) {
                        // on first few bids let the opponent learn some more about our
                        // preferences

                        double utilDecrease = (1 - 0.925) / TotalFirstActions;

                        myBid = IM.GenerateBidWithAtleastUtilityOf(
                                        0.925 + utilDecrease * FirstActions);
                        --FirstActions;
                } else {
                        double threshold = IM.GetNextRecommendedOfferUtility();
                        myBid = IM.GenerateBidWithAtleastUtilityOf(threshold);

                        if (IM.InFrenzy == true)
                                myBid = IM.BestEverOpponentBid;
                }

                try {
                        IM.AddMyBidToStatistics(myBid);
                } catch (Exception e2) {
                }

                return new Offer(this.getAgentID(), myBid);
        }

        @Override
        public String getDescription() {
                return "ANAC2011 compatible with non-linear utility spaces";
        }

}