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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