1 | package agents;
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2 |
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3 | import java.util.HashMap;
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4 | import java.util.List;
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5 | import java.util.Random;
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6 |
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7 | import genius.core.Agent;
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8 | import genius.core.Bid;
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9 | import genius.core.actions.Accept;
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10 | import genius.core.actions.Action;
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11 | import genius.core.actions.ActionWithBid;
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12 | import genius.core.actions.Offer;
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13 | import genius.core.issue.Issue;
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14 | import genius.core.issue.IssueDiscrete;
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15 | import genius.core.issue.IssueInteger;
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16 | import genius.core.issue.IssueReal;
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17 | import genius.core.issue.Value;
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18 | import genius.core.issue.ValueInteger;
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19 | import genius.core.issue.ValueReal;
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20 | import genius.core.timeline.Timeline;
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21 |
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22 | /**
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23 | * @author W.Pasman Some improvements over the standard SimpleAgent.
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24 | *
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25 | * Random Walker, Zero Intelligence Agent
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26 | */
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27 | public class SimpleAgent extends Agent {
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28 | private Action actionOfPartner = null;
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29 | /**
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30 | * Note: {@link SimpleAgent} does not account for the discount factor in its
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31 | * computations
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32 | */
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33 | private static double MINIMUM_BID_UTILITY = 0.0;
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34 |
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35 | /**
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36 | * init is called when a next session starts with the same opponent.
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37 | */
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38 | @Override
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39 | public void init() {
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40 | MINIMUM_BID_UTILITY = utilitySpace.getReservationValueUndiscounted();
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41 | }
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42 |
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43 | @Override
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44 | public String getVersion() {
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45 | return "3.1";
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46 | }
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47 |
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48 | @Override
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49 | public String getName() {
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50 | return "Simple Agent";
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51 | }
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52 |
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53 | @Override
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54 | public void ReceiveMessage(Action opponentAction) {
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55 | actionOfPartner = opponentAction;
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56 | }
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57 |
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58 | @Override
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59 | public Action chooseAction() {
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60 | Action action = null;
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61 | Bid partnerBid = null;
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62 | try {
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63 | if (actionOfPartner == null)
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64 | action = chooseRandomBidAction();
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65 | if (actionOfPartner instanceof Offer) {
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66 | partnerBid = ((Offer) actionOfPartner).getBid();
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67 | double offeredUtilFromOpponent = getUtility(partnerBid);
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68 | // get current time
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69 | double time = timeline.getTime();
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70 | action = chooseRandomBidAction();
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71 |
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72 | Bid myBid = ((Offer) action).getBid();
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73 | double myOfferedUtil = getUtility(myBid);
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74 |
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75 | // accept under certain circumstances
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76 | if (isAcceptable(offeredUtilFromOpponent, myOfferedUtil, time))
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77 | action = new Accept(getAgentID(), partnerBid);
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78 |
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79 | }
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80 | if (timeline.getType().equals(Timeline.Type.Time)) {
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81 | sleep(0.005); // just for fun
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82 | }
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83 |
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84 | } catch (Exception e) {
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85 | System.out.println("Exception in ChooseAction:" + e.getMessage());
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86 | action = new Accept(getAgentID(), partnerBid); // best guess if
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87 | // things go wrong.
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88 | }
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89 | return action;
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90 | }
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91 |
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92 | private boolean isAcceptable(double offeredUtilFromOpponent,
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93 | double myOfferedUtil, double time) throws Exception {
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94 | double P = Paccept(offeredUtilFromOpponent, time);
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95 | if (P > Math.random())
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96 | return true;
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97 | return false;
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98 | }
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99 |
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100 | /**
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101 | * Wrapper for getRandomBid, for convenience.
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102 | *
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103 | * @return new Action(Bid(..)), with bid utility > MINIMUM_BID_UTIL. If a
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104 | * problem occurs, it returns an Accept() action.
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105 | */
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106 | private Action chooseRandomBidAction() {
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107 | Bid nextBid = null;
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108 | try {
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109 | nextBid = getRandomBid();
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110 | } catch (Exception e) {
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111 | System.out.println("Problem with received bid:" + e.getMessage()
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112 | + ". cancelling bidding");
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113 | }
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114 | if (nextBid == null)
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115 | return new Accept(getAgentID(),
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116 | ((ActionWithBid) actionOfPartner).getBid());
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117 | return (new Offer(getAgentID(), nextBid));
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118 | }
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119 |
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120 | /**
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121 | * @return a random bid with high enough utility value.
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122 | * @throws Exception
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123 | * if we can't compute the utility (eg no evaluators have been
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124 | * set) or when other evaluators than a DiscreteEvaluator are
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125 | * present in the util space.
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126 | */
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127 | private Bid getRandomBid() throws Exception {
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128 | HashMap<Integer, Value> values = new HashMap<Integer, Value>(); // pairs
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129 | // <issuenumber,chosen
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130 | // value
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131 | // string>
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132 | List<Issue> issues = utilitySpace.getDomain().getIssues();
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133 | Random randomnr = new Random();
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134 |
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135 | // createFrom a random bid with utility>MINIMUM_BID_UTIL.
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136 | // note that this may never succeed if you set MINIMUM too high!!!
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137 | // in that case we will search for a bid till the time is up (3 minutes)
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138 | // but this is just a simple agent.
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139 | Bid bid = null;
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140 | do {
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141 | for (Issue lIssue : issues) {
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142 | switch (lIssue.getType()) {
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143 | case DISCRETE:
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144 | IssueDiscrete lIssueDiscrete = (IssueDiscrete) lIssue;
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145 | int optionIndex = randomnr
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146 | .nextInt(lIssueDiscrete.getNumberOfValues());
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147 | values.put(lIssue.getNumber(),
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148 | lIssueDiscrete.getValue(optionIndex));
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149 | break;
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150 | case REAL:
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151 | IssueReal lIssueReal = (IssueReal) lIssue;
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152 | int optionInd = randomnr.nextInt(
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153 | lIssueReal.getNumberOfDiscretizationSteps() - 1);
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154 | values.put(lIssueReal.getNumber(), new ValueReal(lIssueReal
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155 | .getLowerBound()
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156 | + (lIssueReal.getUpperBound()
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157 | - lIssueReal.getLowerBound()) * (optionInd)
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158 | / (lIssueReal
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159 | .getNumberOfDiscretizationSteps())));
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160 | break;
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161 | case INTEGER:
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162 | IssueInteger lIssueInteger = (IssueInteger) lIssue;
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163 | int optionIndex2 = lIssueInteger.getLowerBound()
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164 | + randomnr.nextInt(lIssueInteger.getUpperBound()
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165 | - lIssueInteger.getLowerBound());
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166 | values.put(lIssueInteger.getNumber(),
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167 | new ValueInteger(optionIndex2));
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168 | break;
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169 | default:
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170 | throw new Exception("issue type " + lIssue.getType()
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171 | + " not supported by SimpleAgent2");
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172 | }
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173 | }
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174 | bid = new Bid(utilitySpace.getDomain(), values);
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175 | } while (getUtility(bid) < MINIMUM_BID_UTILITY);
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176 |
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177 | return bid;
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178 | }
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179 |
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180 | /**
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181 | * This function determines the accept probability for an offer. At t=0 it
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182 | * will prefer high-utility offers. As t gets closer to 1, it will accept
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183 | * lower utility offers with increasing probability. it will never accept
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184 | * offers with utility 0.
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185 | *
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186 | * @param u
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187 | * is the utility
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188 | * @param t
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189 | * is the time as fraction of the total available time (t=0 at
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190 | * start, and t=1 at end time)
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191 | * @return the probability of an accept at time t
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192 | * @throws Exception
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193 | * if you use wrong values for u or t.
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194 | *
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195 | */
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196 | double Paccept(double u, double t1) throws Exception {
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197 | double t = t1 * t1 * t1; // steeper increase when deadline approaches.
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198 | if (u < 0 || u > 1.05)
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199 | throw new Exception("utility " + u + " outside [0,1]");
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200 | // normalization may be slightly off, therefore we have a broad boundary
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201 | // up to 1.05
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202 | if (t < 0 || t > 1)
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203 | throw new Exception("time " + t + " outside [0,1]");
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204 | if (u > 1.)
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205 | u = 1;
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206 | if (t == 0.5)
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207 | return u;
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208 | return (u - 2. * u * t
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209 | + 2. * (-1. + t + Math.sqrt(sq(-1. + t) + u * (-1. + 2 * t))))
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210 | / (-1. + 2 * t);
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211 | }
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212 |
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213 | double sq(double x) {
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214 | return x * x;
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215 | }
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216 |
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217 | @Override
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218 | public String getDescription() {
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219 | return "Random bids until good offer is received";
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220 | }
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221 |
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222 | }
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