1 | package agents.anac.y2018.agreeableagent2018;
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2 |
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3 | import java.util.List;
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4 |
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5 | import genius.core.AgentID;
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6 | import genius.core.Bid;
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7 | import genius.core.actions.Accept;
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8 | import genius.core.actions.Action;
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9 | import genius.core.actions.Offer;
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10 | import genius.core.bidding.BidDetails;
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11 | import genius.core.boaframework.OutcomeSpace;
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12 | import genius.core.issue.Issue;
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13 | import genius.core.issue.IssueDiscrete;
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14 | import genius.core.misc.Range;
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15 | import genius.core.parties.AbstractNegotiationParty;
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16 | import genius.core.parties.NegotiationInfo;
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17 | import genius.core.timeline.TimeLineInfo;
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18 | import genius.core.utility.AbstractUtilitySpace;
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19 |
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20 | /**
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21 | * Created by Sahar Mirzayi
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22 | * 2/14/2018
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23 | * University of Tehran
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24 | * Agent Lab.
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25 | * Sahar.Mirzayi @ gmail.com
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26 | */
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27 |
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28 | public class AgreeableAgent2018 extends AbstractNegotiationParty {
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29 | private int domainSize;
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30 | private double pMin;
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31 | private double pMax;
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32 | private AbstractUtilitySpace utilSpace = null;
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33 | private TimeLineInfo timeLineInfo = null;
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34 | private Bid bestBid = null;
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35 | private Bid lastReceivedOffer = null;
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36 | private OutcomeSpace outcomeSpace = null;
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37 | private FrequencyBasedOpponentModel opponentModel1;
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38 | private FrequencyBasedOpponentModel opponentModel2;
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39 | private AgentID opponent1ID = null;
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40 | private AgentID opponent2ID = null;
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41 | protected int opponent1BidCount = 0;
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42 | protected int opponent2BidCount = 0;
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43 | private double timeForUsingModel = 0.1;
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44 | private boolean canUseModel = false;
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45 |
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46 |
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47 | @Override
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48 | public void init(NegotiationInfo info) {
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49 | super.init(info);
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50 | this.utilSpace = info.getUtilitySpace();
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51 | outcomeSpace = new OutcomeSpace(utilSpace);
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52 | domainSize = outcomeSpace.getAllOutcomes().size();
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53 |
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54 | timeLineInfo = info.getTimeline();
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55 | try {
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56 | bestBid = info.getUtilitySpace().getMaxUtilityBid();
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57 | pMin = utilitySpace.getUtility(utilitySpace.getMinUtilityBid());
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58 | pMax = utilitySpace.getUtility(utilitySpace.getMaxUtilityBid());
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59 | } catch (Exception e) {
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60 | e.printStackTrace();
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61 | }
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62 | if (isAllIssuesDiscrete()) {
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63 | canUseModel = true;
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64 | determineTimeForUsingModel();
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65 | opponentModel1 = new FrequencyBasedOpponentModel();
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66 | opponentModel1.init(utilitySpace.getDomain().getIssues());
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67 | opponentModel2 = new FrequencyBasedOpponentModel();
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68 | opponentModel2.init(utilitySpace.getDomain().getIssues());
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69 | } else {
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70 | canUseModel = false;
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71 | }
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72 | }
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73 |
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74 | private boolean isAllIssuesDiscrete() {
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75 | List<Issue> issues = utilSpace.getDomain().getIssues();
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76 | for (Issue issue : issues) {
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77 | if (!(issue instanceof IssueDiscrete))
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78 | return false;
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79 | }
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80 | return true;
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81 | }
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82 |
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83 | private void determineTimeForUsingModel() {
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84 | if (domainSize < Constants.smallDomainUpperBound)
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85 | timeForUsingModel = Constants.timeForUsingModelForSmallDomain;
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86 | if (domainSize >= Constants.smallDomainUpperBound &&
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87 | domainSize < Constants.midDomainUpperBound)
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88 | timeForUsingModel = Constants.timeForUsingModelForMidDomain;
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89 | if (domainSize >= Constants.midDomainUpperBound)
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90 | timeForUsingModel = Constants.timeForUsingModelForLargeDomain;
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91 | }
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92 |
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93 | @Override
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94 | public void receiveMessage(AgentID sender, Action lastOpponentAction) {
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95 | super.receiveMessage(sender, lastOpponentAction);
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96 | if (lastOpponentAction instanceof Offer) {
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97 | Bid bid = ((Offer) lastOpponentAction).getBid();
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98 | if (canUseModel) {
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99 | if (opponent1ID == null) {
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100 | opponent1ID = sender;
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101 | } else if (opponent2ID == null) {
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102 | opponent2ID = sender;
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103 | }
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104 | if (opponent1ID == sender) {
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105 | opponent1BidCount++;
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106 | opponentModel1.updateModel(bid, opponent1BidCount);
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107 | }
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108 | if (opponent2ID == sender) {
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109 | opponent2BidCount++;
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110 | opponentModel2.updateModel(bid, opponent2BidCount);
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111 | }
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112 | }
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113 | lastReceivedOffer = ((Offer) lastOpponentAction).getBid();
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114 | }
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115 | }
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116 |
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117 | @Override
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118 | public Action chooseAction(List<Class<? extends Action>> possibleActions) {
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119 | if (lastReceivedOffer != null) {
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120 | try {
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121 | Bid myBid = getNextBid();
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122 | if (isAcceptable(getUtility(lastReceivedOffer), getUtility(myBid)))
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123 | return new Accept(getPartyId(), lastReceivedOffer);
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124 | else
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125 | return new Offer(getPartyId(), myBid);
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126 | } catch (Exception ex) {
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127 | return new Offer(getPartyId(), bestBid);
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128 | }
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129 | } else {
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130 | return new Offer(getPartyId(), bestBid);
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131 | }
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132 | }
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133 |
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134 | private boolean isAcceptable(double opponentUtility, double myBidUtilByTime) {
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135 | if (opponentUtility >= myBidUtilByTime)
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136 | return true;
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137 |
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138 | double time = timeLineInfo.getTime();
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139 | return time >= 0.99 && opponentUtility >= utilSpace.getReservationValue();
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140 |
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141 | }
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142 |
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143 | private Bid getNextBid() {
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144 |
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145 | double time = timeLineInfo.getTime();
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146 | double targetUtilityByTime = getUtilityByTime(time);
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147 | if (targetUtilityByTime < Constants.minimumUtility)
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148 | targetUtilityByTime = Constants.minimumUtility;
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149 |
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150 | if (isModelUsable() && canUseModel) {
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151 | return tuneBidByOpponentModel(targetUtilityByTime);
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152 | } else {
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153 | BidDetails bidNearUtility = outcomeSpace.getBidNearUtility(targetUtilityByTime);
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154 | return bidNearUtility.getBid();
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155 | }
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156 | }
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157 |
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158 | private boolean isModelUsable() {
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159 | double time = timeLineInfo.getTime();
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160 | return time >= timeForUsingModel;
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161 | }
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162 |
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163 | private Bid tuneBidByOpponentModel(double targetUtilityByTime) {
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164 |
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165 | double utilityThreshold = getExplorableNeighbourhood();
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166 | Range range =
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167 | new Range(targetUtilityByTime - utilityThreshold, targetUtilityByTime + utilityThreshold);
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168 | List<BidDetails> bidsInRange = outcomeSpace.getBidsinRange(range);
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169 | if (bidsInRange.size() == 1)
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170 | return bidsInRange.get(0).getBid();
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171 | int selectedBidIndex = getBestBidByRouletteWheel(bidsInRange);
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172 | return bidsInRange.get(selectedBidIndex).getBid();
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173 | }
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174 |
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175 |
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176 | /*private int getBestBidByOpponentUtilities(List<BidDetails> bidsInRange) {
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177 | int size = bidsInRange.size();
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178 | double max = 0;
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179 | int maxIndex = 0;
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180 | for (int i = 0; i < size; i++) {
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181 | BidDetails bidDetails = bidsInRange.get(i);
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182 | double sum = opponentModel1.getUtility(bidDetails.getBid())
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183 | + opponentModel2.getUtility(bidDetails.getBid());
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184 | if (sum > max) {
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185 | max = sum;
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186 | maxIndex = i;
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187 | }
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188 | }
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189 | return maxIndex;
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190 |
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191 | }*/
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192 |
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193 | private int getBestBidByRouletteWheel(List<BidDetails> bidsInRange) {
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194 | int size = bidsInRange.size();
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195 | double[] sumOfTwoUtilitiesForBid = new double[size];
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196 | double totalUtility = 0;
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197 | for (int i = 0; i < size; i++) {
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198 | BidDetails bidDetails = bidsInRange.get(i);
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199 | double sum = opponentModel1.getUtility(bidDetails.getBid())
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200 | + opponentModel2.getUtility(bidDetails.getBid());
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201 | sumOfTwoUtilitiesForBid[i] = sum;
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202 | totalUtility += sum;
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203 | }
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204 | double[] normalizedSumOfTwoUtilitiesForBid = new double[size];
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205 | for (int i = 0; i < size; i++) {
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206 | normalizedSumOfTwoUtilitiesForBid[i] = sumOfTwoUtilitiesForBid[i] / totalUtility;
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207 | }
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208 | double random = Math.random();
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209 | double integrate = 0;
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210 | int selectedBidIndex = size;
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211 | for (int i = 0; i < size; i++) {
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212 | integrate += normalizedSumOfTwoUtilitiesForBid[i];
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213 | if (integrate >= random) {
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214 | selectedBidIndex = i;
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215 | break;
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216 | }
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217 | }
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218 | return selectedBidIndex;
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219 | }
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220 |
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221 | private double getExplorableNeighbourhood() {
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222 | double time = timeLineInfo.getTime();
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223 | if (time < Constants.timeToConcede) {
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224 | return 0;
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225 | } else {
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226 | return Constants.neigExplorationDisFactor
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227 | *(1 - (pMin + (pMax - pMin) * (1 - f(time))));
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228 | }
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229 | }
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230 |
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231 | @Override
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232 | public String getDescription() {
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233 | return "ANAC2018";
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234 | }
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235 |
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236 | public double getUtilityByTime(double time) {
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237 | if (time < Constants.timeToConcede) {
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238 | return 1;
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239 | } else {
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240 | time = (time - Constants.timeToConcede) / (1 - Constants.timeToConcede);//normalization
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241 | return pMin + (pMax - pMin) * (1 - f(time));
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242 | }
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243 | }
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244 |
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245 | public double f(double t) {
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246 | if (Constants.concessionFactor == 0)
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247 | return Constants.k;
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248 | return Constants.k + (1 - Constants.k) * Math.pow(t, 1.0 / Constants.concessionFactor);
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249 | }
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250 | }
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