[127] | 1 | package agents;
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| 2 |
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| 3 | import java.io.Serializable;
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| 4 | import java.util.HashMap;
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| 5 | import java.util.List;
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| 6 | import java.util.Random;
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| 7 |
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| 8 | import genius.core.Agent;
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| 9 | import genius.core.Bid;
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| 10 | import genius.core.BidHistory;
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| 11 | import genius.core.actions.Accept;
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| 12 | import genius.core.actions.Action;
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| 13 | import genius.core.actions.EndNegotiation;
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| 14 | import genius.core.actions.Offer;
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| 15 | import genius.core.bidding.BidDetails;
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| 16 | import genius.core.issue.Issue;
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| 17 | import genius.core.issue.IssueDiscrete;
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| 18 | import genius.core.issue.IssueInteger;
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| 19 | import genius.core.issue.IssueReal;
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| 20 | import genius.core.issue.Value;
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| 21 | import genius.core.issue.ValueInteger;
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| 22 | import genius.core.issue.ValueReal;
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| 23 |
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| 24 | /**
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| 25 | * @author S. Hourmann Some improvements over the standard Agent. Saving Bid
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| 26 | * History for the session.
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| 27 | *
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| 28 | * Random Walker, Zero Intelligence Agent
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| 29 | */
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| 30 | public class SimpleAgentSavingBidHistory extends Agent {
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| 31 | // "state" represents "where am I in the code".
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| 32 | // I want to print "state" when I print a message about saving data.
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| 33 | private String state;
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| 34 | private Action actionOfPartner = null;
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| 35 |
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| 36 | /**
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| 37 | * Note: {@link SimpleAgentSavingBidHistory} does not account for the
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| 38 | * discount factor in its computations
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| 39 | */
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| 40 | private static double MINIMUM_BID_UTILITY = 0.0;
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| 41 |
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| 42 | private BidHistory currSessOppBidHistory;
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| 43 | private BidHistory prevSessOppBidHistory;
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| 44 |
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| 45 | public SimpleAgentSavingBidHistory() {
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| 46 | super();
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| 47 | this.currSessOppBidHistory = new BidHistory();
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| 48 | }
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| 49 |
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| 50 | /**
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| 51 | * init is called when a next session starts with the same opponent.
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| 52 | */
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| 53 | public void init() {
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| 54 | MINIMUM_BID_UTILITY = utilitySpace.getReservationValueUndiscounted();
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| 55 | myBeginSession();
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| 56 | }
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| 57 |
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| 58 | public void myBeginSession() {
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| 59 | System.out.println("Starting match num: " + sessionNr);
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| 60 |
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| 61 | // ---- Code for trying save and load functionality
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| 62 | // First try to load saved data
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| 63 | // ---- Loading from agent's function "loadSessionData"
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| 64 | Serializable prev = this.loadSessionData();
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| 65 | if (!(prev == null)) {
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| 66 | prevSessOppBidHistory = (BidHistory) prev;
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| 67 | System.out
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| 68 | .println("---------/////////// NEW NEW NEW /////////////----------");
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| 69 | System.out.println("The size of the previous BidHistory is: "
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| 70 | + prevSessOppBidHistory.size());
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| 71 | } else {
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| 72 | // If didn't succeed, it means there is no data for this preference
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| 73 | // profile
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| 74 | // in this domain.
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| 75 | System.out.println("There is no history yet.");
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| 76 | }
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| 77 | }
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| 78 |
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| 79 | @Override
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| 80 | public String getVersion() {
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| 81 | return "3.1";
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| 82 | }
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| 83 |
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| 84 | @Override
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| 85 | public String getName() {
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| 86 | return "Simple Agent Saving Bid History";
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| 87 | }
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| 88 |
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| 89 | public void ReceiveMessage(Action opponentAction) {
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| 90 | actionOfPartner = opponentAction;
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| 91 | if (opponentAction instanceof Offer) {
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| 92 | Bid bid = ((Offer) opponentAction).getBid();
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| 93 | // 2. store the opponent's trace
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| 94 | try {
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| 95 | BidDetails opponentBid = new BidDetails(bid,
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| 96 | utilitySpace.getUtility(bid), timeline.getTime());
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| 97 | currSessOppBidHistory.add(opponentBid);
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| 98 | } catch (Exception e) {
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| 99 | e.printStackTrace();
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| 100 | }
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| 101 | }
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| 102 | }
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| 103 |
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| 104 | public Action chooseAction() {
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| 105 | Action action = null;
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| 106 | Bid partnerBid = null;
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| 107 | try {
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| 108 | if (actionOfPartner == null)
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| 109 | action = chooseRandomBidAction();
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| 110 | if (actionOfPartner instanceof Offer) {
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| 111 | partnerBid = ((Offer) actionOfPartner).getBid();
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| 112 | double offeredUtilFromOpponent = getUtility(partnerBid);
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| 113 | // get current time
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| 114 | double time = timeline.getTime();
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| 115 | action = chooseRandomBidAction();
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| 116 |
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| 117 | Bid myBid = ((Offer) action).getBid();
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| 118 | double myOfferedUtil = getUtility(myBid);
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| 119 |
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| 120 | // accept under certain circumstances
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| 121 | if (isAcceptable(offeredUtilFromOpponent, myOfferedUtil, time)) {
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| 122 | action = new Accept(getAgentID(), partnerBid);
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| 123 |
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| 124 | // ---- Code for trying save and load functionality
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| 125 | // /////////////////////////////////
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| 126 | state = "I accepted so I'm trying to save. ";
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| 127 | tryToSaveAndPrintState();
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| 128 | // /////////////////////////////////
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| 129 |
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| 130 | }
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| 131 | }
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| 132 | if (actionOfPartner instanceof EndNegotiation) {
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| 133 |
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| 134 | // ---- Code for trying save and load functionality
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| 135 | // /////////////////////////////////
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| 136 | state = "Got EndNegotiation from opponentttttttttt. ";
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| 137 | tryToSaveAndPrintState();
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| 138 | // /////////////////////////////////
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| 139 | }
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| 140 | sleep(0.005); // just for fun
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| 141 | } catch (Exception e) {
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| 142 | System.out.println("Exception in ChooseAction:" + e.getMessage());
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| 143 |
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| 144 | // ---- Code for trying save and load functionality
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| 145 | // /////////////////////////////////
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| 146 | state = "Got Exceptionnnnnnnnnn. ";
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| 147 | tryToSaveAndPrintState();
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| 148 | // /////////////////////////////////
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| 149 | // best guess if things go wrong.
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| 150 | action = new Accept(getAgentID(), partnerBid);
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| 151 | }
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| 152 | return action;
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| 153 | }
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| 154 |
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| 155 | // ---- Code for trying save and load functionality
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| 156 | private void tryToSaveAndPrintState() {
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| 157 |
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| 158 | // ---- Saving from agent's function "saveSessionData"
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| 159 | this.saveSessionData(currSessOppBidHistory);
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| 160 | System.out.println(state + "The size of the BidHistory I'm saving is: "
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| 161 | + currSessOppBidHistory.size());
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| 162 | }
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| 163 |
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| 164 | private boolean isAcceptable(double offeredUtilFromOpponent,
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| 165 | double myOfferedUtil, double time) throws Exception {
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| 166 | double P = Paccept(offeredUtilFromOpponent, time);
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| 167 | if (P > Math.random())
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| 168 | return true;
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| 169 | return false;
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| 170 | }
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| 171 |
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| 172 | /**
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| 173 | * Wrapper for getRandomBid, for convenience.
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| 174 | *
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| 175 | * @return new Action(Bid(..)), with bid utility > MINIMUM_BID_UTIL. If a
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| 176 | * problem occurs, it returns an Accept() action.
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| 177 | */
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| 178 | private Action chooseRandomBidAction() {
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| 179 | Bid nextBid = null;
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| 180 | try {
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| 181 | nextBid = getRandomBid();
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| 182 | } catch (Exception e) {
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| 183 | System.out.println("Problem with received bid:" + e.getMessage()
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| 184 | + ". cancelling bidding");
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| 185 | }
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| 186 | if (nextBid == null)
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| 187 | return (new Accept(getAgentID(), currSessOppBidHistory.getLastBid()));
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| 188 | return (new Offer(getAgentID(), nextBid));
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| 189 | }
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| 190 |
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| 191 | /**
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| 192 | * @return a random bid with high enough utility value.
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| 193 | * @throws Exception
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| 194 | * if we can't compute the utility (eg no evaluators have been
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| 195 | * set) or when other evaluators than a DiscreteEvaluator are
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| 196 | * present in the util space.
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| 197 | */
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| 198 | private Bid getRandomBid() throws Exception {
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| 199 | HashMap<Integer, Value> values = new HashMap<Integer, Value>(); // pairs
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| 200 | // <issuenumber,chosen
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| 201 | // value
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| 202 | // string>
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| 203 | List<Issue> issues = utilitySpace.getDomain().getIssues();
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| 204 | Random randomnr = new Random();
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| 205 |
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| 206 | // createFrom a random bid with utility>MINIMUM_BID_UTIL.
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| 207 | // note that this may never succeed if you set MINIMUM too high!!!
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| 208 | // in that case we will search for a bid till the time is up (3 minutes)
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| 209 | // but this is just a simple agent.
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| 210 | Bid bid = null;
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| 211 | do {
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| 212 | for (Issue lIssue : issues) {
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| 213 | switch (lIssue.getType()) {
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| 214 | case DISCRETE:
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| 215 | IssueDiscrete lIssueDiscrete = (IssueDiscrete) lIssue;
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| 216 | int optionIndex = randomnr.nextInt(lIssueDiscrete
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| 217 | .getNumberOfValues());
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| 218 | values.put(lIssue.getNumber(),
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| 219 | lIssueDiscrete.getValue(optionIndex));
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| 220 | break;
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| 221 | case REAL:
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| 222 | IssueReal lIssueReal = (IssueReal) lIssue;
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| 223 | int optionInd = randomnr.nextInt(lIssueReal
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| 224 | .getNumberOfDiscretizationSteps() - 1);
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| 225 | values.put(
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| 226 | lIssueReal.getNumber(),
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| 227 | new ValueReal(lIssueReal.getLowerBound()
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| 228 | + (lIssueReal.getUpperBound() - lIssueReal
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| 229 | .getLowerBound())
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| 230 | * (double) (optionInd)
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| 231 | / (double) (lIssueReal
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| 232 | .getNumberOfDiscretizationSteps())));
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| 233 | break;
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| 234 | case INTEGER:
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| 235 | IssueInteger lIssueInteger = (IssueInteger) lIssue;
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| 236 | int optionIndex2 = lIssueInteger.getLowerBound()
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| 237 | + randomnr.nextInt(lIssueInteger.getUpperBound()
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| 238 | - lIssueInteger.getLowerBound());
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| 239 | values.put(lIssueInteger.getNumber(), new ValueInteger(
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| 240 | optionIndex2));
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| 241 | break;
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| 242 | default:
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| 243 | throw new Exception("issue type " + lIssue.getType()
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| 244 | + " not supported by SamantaAgent2");
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| 245 | }
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| 246 | }
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| 247 | bid = new Bid(utilitySpace.getDomain(), values);
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| 248 | } while (getUtility(bid) < MINIMUM_BID_UTILITY);
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| 249 |
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| 250 | return bid;
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| 251 | }
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| 252 |
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| 253 | /**
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| 254 | * This function determines the accept probability for an offer. At t=0 it
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| 255 | * will prefer high-utility offers. As t gets closer to 1, it will accept
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| 256 | * lower utility offers with increasing probability. it will never accept
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| 257 | * offers with utility 0.
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| 258 | *
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| 259 | * @param u
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| 260 | * is the utility
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| 261 | * @param t
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| 262 | * is the time as fraction of the total available time (t=0 at
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| 263 | * start, and t=1 at end time)
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| 264 | * @return the probability of an accept at time t
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| 265 | * @throws Exception
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| 266 | * if you use wrong values for u or t.
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| 267 | *
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| 268 | */
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| 269 | double Paccept(double u, double t1) throws Exception {
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| 270 | double t = t1 * t1 * t1; // steeper increase when deadline approaches.
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| 271 | if (u < 0 || u > 1.05)
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| 272 | throw new Exception("utility " + u + " outside [0,1]");
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| 273 | // normalization may be slightly off, therefore we have a broad boundary
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| 274 | // up to 1.05
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| 275 | if (t < 0 || t > 1)
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| 276 | throw new Exception("time " + t + " outside [0,1]");
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| 277 | if (u > 1.)
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| 278 | u = 1;
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| 279 | if (t == 0.5)
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| 280 | return u;
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| 281 | return (u - 2. * u * t + 2. * (-1. + t + Math.sqrt(sq(-1. + t) + u
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| 282 | * (-1. + 2 * t))))
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| 283 | / (-1. + 2 * t);
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| 284 | }
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| 285 |
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| 286 | double sq(double x) {
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| 287 | return x * x;
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| 288 | }
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| 289 | }
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