[1] | 1 | package agents.anac.y2015.pnegotiator;
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| 2 |
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| 3 | import java.util.ArrayList;
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| 4 | import java.util.List;
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| 5 |
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| 6 | import genius.core.AgentID;
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| 7 | import genius.core.Bid;
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| 8 | import genius.core.actions.Accept;
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| 9 | import genius.core.actions.Action;
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| 10 | import genius.core.actions.ActionWithBid;
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| 11 | import genius.core.actions.DefaultAction;
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| 12 | import genius.core.actions.Offer;
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| 13 | import genius.core.issue.Objective;
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| 14 | import genius.core.parties.AbstractNegotiationParty;
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| 15 | import genius.core.parties.NegotiationInfo;
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| 16 | import genius.core.utility.AdditiveUtilitySpace;
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| 17 |
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| 18 | /**
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| 19 | * This is your negotiation party.
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| 20 | */
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| 21 | public class BayesLearner extends AbstractNegotiationParty {
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| 22 |
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| 23 | // State of the agent (am I being a hardliner or am I conceding?)
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| 24 | public enum AgentState {
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| 25 | HARDLINER, CONCEDER
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| 26 | };
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| 27 |
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| 28 | public AgentState agentState;
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| 29 |
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| 30 | // Parameters of the negotiation
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| 31 | // private UtilitySpace utilitySpace;
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| 32 | // private Timeline timeline;
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| 33 | private List<Objective> objectives;
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| 34 |
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| 35 | // Other private fields
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| 36 | private Bid currentBid = null;
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| 37 | private Bid nextBid = null;
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| 38 | // private double concessionFactor = 1;
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| 39 | // private int totalBids = 1;
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| 40 |
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| 41 | private BestBids bestBids;
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| 42 | private BayesLogic bayesLogic;
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| 43 |
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| 44 | private double lRng = 0.9, rRng = 1.0;
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| 45 |
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| 46 | @Override
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| 47 | public void init(NegotiationInfo info) {
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| 48 | super.init(info);
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| 49 | // Set agent's game parameters
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| 50 | // this.utilitySpace = utilitySpace;
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| 51 | // this.timeline = timeline;
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| 52 | this.objectives = utilitySpace.getDomain().getObjectives();
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| 53 |
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| 54 | try {
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| 55 | this.bestBids = new BestBids((AdditiveUtilitySpace) this.utilitySpace);
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| 56 | } catch (Exception e) {
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| 57 | e.printStackTrace();
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| 58 | }
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| 59 |
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| 60 | agentState = AgentState.HARDLINER;
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| 61 |
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| 62 | // Print stuff for the benefit of our understanding
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| 63 | // System.out.println("Discount factor: " +
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| 64 | // utilitySpace.getDiscountFactor());
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| 65 | // for(int i = 1; i < objectives.size(); ++i)
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| 66 | // {
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| 67 | // System.out.println("(Name, Type, Weight): (" +
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| 68 | // objectives.get(i).getName() + ", " + objectives.get(i).getType() +
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| 69 | // ", "+ utilitySpace.getWeight(i) + ")");
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| 70 | // }
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| 71 | //
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| 72 | // System.out.println("Disagreement point (Discounted): " +
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| 73 | // utilitySpace.getReservationValueWithDiscount(timeline));
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| 74 | // System.out.println("Disagreement point (Undiscounted): " +
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| 75 | // utilitySpace.getReservationValueUndiscounted());
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| 76 | // System.out.println("Discount factor: " +
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| 77 | // utilitySpace.getDiscountFactor());
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| 78 | // System.out.println("Number of possible bids: " +
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| 79 | // domain.getNumberOfPossibleBids());
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| 80 | }
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| 81 |
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| 82 | /**
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| 83 | * Each round this method gets called and ask you to accept or offer. The
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| 84 | * first party in the first round is a bit different, it can only propose an
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| 85 | * offer.
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| 86 | *
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| 87 | * @param validActions
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| 88 | * Either a list containing both accept and offer or only offer.
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| 89 | * @return The chosen action.
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| 90 | */
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| 91 | public Action chooseAction(List<Class<? extends Action>> validActions) {
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| 92 | // ++totalBids;
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| 93 | try {
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| 94 | setState();
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| 95 | updateBayes();
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| 96 | System.out.println(currentBid);
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| 97 | if (currentBid == null) {
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| 98 | nextBid = utilitySpace.getMaxUtilityBid();
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| 99 | } else {
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| 100 | // setState();
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| 101 | lRng = getConcessionUtility();
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| 102 | Bid bestBid = bestBids.getRandomBid(generateRandomBid(), rand, lRng, rRng);
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| 103 | double CU = utilitySpace.getUtility(currentBid);
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| 104 | System.out.format("%6.4f < %6.4f < %6.4f\n", lRng, utilitySpace.getUtility(bestBid), rRng);
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| 105 | switch (agentState) {
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| 106 | case HARDLINER:
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| 107 | // System.out.println("HARDLINER");
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| 108 | nextBid = bestBid;
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| 109 | break;
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| 110 | default:
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| 111 | // System.out.println("CONCEDER");
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| 112 | Bid bayes;
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| 113 | double U1;
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| 114 | do {
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| 115 | bayes = bayesLogic.bayesBid(utilitySpace.getMaxUtilityBid());
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| 116 | U1 = utilitySpace.getUtility(bayes);
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| 117 | // System.out.format("V: %3d U: %6.4f\n", bayesLogic.V,
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| 118 | // U1);
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| 119 | bayesLogic.V++;
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| 120 | } while (U1 < lRng);
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| 121 | bayesLogic.V = 1;
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| 122 | // bayes = bayesLogic.bayesBid2(rand);
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| 123 | // U1 = utilitySpace.getUtility(bayes);
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| 124 | // System.out.format("Bayes: %6.4f | Proposed: %6.4f\n",
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| 125 | // U1,CU);
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| 126 | nextBid = bayes;
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| 127 | }
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| 128 | // bayesLogic.updateOpponentFrequency(bestBid, 0);
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| 129 | if (utilitySpace.getUtility(currentBid) >= lRng)
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| 130 | return new Accept(getPartyId(), ((ActionWithBid) getLastReceivedAction()).getBid());
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| 131 | }
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| 132 | } catch (Exception e) {
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| 133 | e.printStackTrace();
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| 134 | }
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| 135 | // Print the total utility of the bid we are making and submit it
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| 136 | System.out.println("Proposing bid with utility: " + utilitySpace.getUtilityWithDiscount(nextBid, timeline));
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| 137 | return new Offer(getPartyId(), nextBid);
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| 138 | }
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| 139 |
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| 140 | private void updateBayes() throws Exception {
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| 141 | if (bayesLogic == null) {
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| 142 | this.bayesLogic = new BayesLogic((AdditiveUtilitySpace) this.utilitySpace, this.getNumberOfParties());
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| 143 | }
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| 144 | bayesLogic.T = (int) (getTimeLine().getTime() * 100);
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| 145 | System.out.format("T: %d\n", bayesLogic.T);
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| 146 | }
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| 147 |
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| 148 | /**
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| 149 | * All offers proposed by the other parties will be received as a message.
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| 150 | * You can use this information to your advantage, for example to predict
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| 151 | * their utility.
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| 152 | *
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| 153 | * @param sender
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| 154 | * The party that did the action.
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| 155 | * @param action
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| 156 | * The action that party did.
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| 157 | */
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| 158 | @Override
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| 159 | public void receiveMessage(AgentID sender, Action action) {
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| 160 | super.receiveMessage(sender, action);
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| 161 | if (!players.contains(sender)) {
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| 162 | players.add(sender);
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| 163 | }
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| 164 | int P = players.indexOf(sender);
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| 165 | if (DefaultAction.getBidFromAction(action) != null)
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| 166 | currentBid = DefaultAction.getBidFromAction(action);
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| 167 | try {
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| 168 | if (currentBid != null) {
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| 169 | updateBayes();
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| 170 | bayesLogic.updateOpponentFrequency(currentBid, P);
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| 171 | }
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| 172 | } catch (Exception e) {
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| 173 | e.printStackTrace();
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| 174 | }
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| 175 | }
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| 176 |
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| 177 | ArrayList<Object> players = new ArrayList<Object>();
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| 178 |
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| 179 | // A dumb function that just sets a scalar concession factor based on the
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| 180 | // current time
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| 181 | private double getConcessionUtility() throws Exception {
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| 182 | double Bj = utilitySpace.getUtility(utilitySpace.getMaxUtilityBid());
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| 183 | double Cj = Bj * timeline.getTime() * timeline.getTime();
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| 184 | double Uj = Bj - (Cj / objectives.size());
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| 185 | // System.out.println("Max : "+Bj+"Cj "+Cj+" time:
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| 186 | // "+timeline.getTime()+"Bound:"+Uj);
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| 187 | return Uj * Uj;
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| 188 | }
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| 189 |
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| 190 | // Logic to decide the next bid
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| 191 | // private void decideNextBid() throws Exception {
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| 192 | // switch(agentState) {
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| 193 | // case HARDLINER:
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| 194 | // System.out.println("MaxRand");
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| 195 | // nextBid = bestBids.getRandomBid(generateRandomBid(), rand, 0.8, 1.);
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| 196 | // break;
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| 197 | // case CONCEDER:
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| 198 | // System.out.println("Bayes");
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| 199 | // nextBid = bayesLogic.bayesBid(utilitySpace.getMaxUtilityBid());
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| 200 | // }
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| 201 | // }
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| 202 |
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| 203 | private void setState() {
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| 204 | if (timeline.getTime() >= .2) {
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| 205 | agentState = AgentState.CONCEDER;
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| 206 | }
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| 207 | }
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| 208 |
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| 209 | @Override
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| 210 | public String getDescription() {
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| 211 | return "ANAC2015-22-PNegotiator";
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| 212 | }
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| 213 | }
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