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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