1 | package agents.anac.y2016.caduceus;
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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 java.util.ArrayList;
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6 | import java.util.Random;
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7 |
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8 | import agents.anac.y2016.caduceus.agents.Atlas3.Atlas3;
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9 | import agents.anac.y2016.caduceus.agents.Caduceus.UtilFunctions;
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10 | import agents.anac.y2016.caduceus.agents.ParsAgent.ParsAgent;
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11 | import agents.anac.y2016.caduceus.agents.RandomDance.RandomDance;
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12 | import agents.anac.y2016.caduceus.agents.kawaii.kawaii;
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13 | import genius.core.AgentID;
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14 | import genius.core.Bid;
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15 | import genius.core.actions.Accept;
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16 | import genius.core.actions.Action;
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17 | import genius.core.actions.ActionWithBid;
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18 | import genius.core.actions.Offer;
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19 | import genius.core.parties.AbstractNegotiationParty;
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20 | import genius.core.parties.NegotiationInfo;
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21 | import genius.core.parties.NegotiationParty;
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22 | import genius.core.persistent.DefaultPersistentDataContainer;
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23 | import genius.core.persistent.PersistentDataType;
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24 |
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25 | /**
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26 | * This is your negotiation party.
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27 | */
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28 | public class Caduceus extends AbstractNegotiationParty {
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29 |
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30 | /**
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31 | * Each round this method gets called and ask you to accept or offer. The
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32 | * first party in the first round is a bit different, it can only propose an
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33 | * offer.
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34 | *
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35 | * @param validActions
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36 | * Either a list containing both accept and offer or only offer.
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37 | * @return The chosen action.
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38 | */
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39 |
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40 | public double discountFactor = 0; // if you want to keep the discount factor
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41 | private double selfReservationValue = 0.75;
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42 | private double percentageOfOfferingBestBid = 0.83;
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43 | private Random random;
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44 |
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45 | public NegotiationParty[] agents = new NegotiationParty[5];
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46 | public double[] scores = UtilFunctions
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47 | .normalize(new double[] { 500, 10, 5, 3, 1 });
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48 |
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49 | public double getScore(int agentIndex) {
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50 | return scores[agentIndex];
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51 | }
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52 |
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53 | @Override
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54 | public void init(NegotiationInfo info) {
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55 |
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56 | super.init(info);
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57 |
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58 | random = new Random(info.getRandomSeed());
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59 |
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60 | agents[0] = new ParsAgent();
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61 | agents[1] = new RandomDance();
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62 | agents[2] = new kawaii();
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63 | agents[3] = new Atlas3();
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64 | agents[4] = new agents.anac.y2016.caduceus.agents.Caduceus.Caduceus();
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65 |
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66 | discountFactor = getUtilitySpace().getDiscountFactor(); // read
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67 | // discount
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68 | // factor
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69 | double reservationValue = getUtilitySpace()
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70 | .getReservationValueUndiscounted();
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71 |
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72 | System.out.println("Discount Factor is " + discountFactor);
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73 | System.out.println("Reservation Value is " + reservationValue);
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74 |
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75 | selfReservationValue = Math.max(selfReservationValue, reservationValue);
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76 | percentageOfOfferingBestBid = percentageOfOfferingBestBid
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77 | * discountFactor;
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78 |
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79 | for (NegotiationParty agent : agents) {
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80 |
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81 | agent.init(new NegotiationInfo(getUtilitySpace(), info.getUserModel(),null,
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82 | info.getDeadline(), info.getTimeline(),
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83 | info.getRandomSeed(), info.getAgentID(),
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84 | new DefaultPersistentDataContainer(null,
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85 | PersistentDataType.DISABLED)));
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86 | }
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87 |
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88 | }
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89 |
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90 | @Override
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91 | public Action chooseAction(List<Class<? extends Action>> validActions) {
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92 | if (isBestOfferTime()) {
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93 | Bid bestBid = this.getBestBid();
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94 | if (bestBid != null)
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95 | return new Offer(getPartyId(), bestBid);
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96 | else
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97 | System.err.println("Best Bid is null?");
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98 | }
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99 |
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100 | ArrayList<Bid> bidsFromAgents = new ArrayList<Bid>();
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101 | ArrayList<Action> possibleActions = new ArrayList<Action>();
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102 |
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103 | for (NegotiationParty agent : agents) {
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104 | Action action = agent.chooseAction(validActions);
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105 | possibleActions.add(action);
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106 | }
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107 |
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108 | double scoreOfAccepts = 0;
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109 | double scoreOfBids = 0;
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110 | ArrayList<Integer> agentsWithBids = new ArrayList<>();
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111 |
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112 | int i = 0;
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113 | for (Action action : possibleActions) {
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114 | if (action instanceof Accept) {
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115 | scoreOfAccepts += getScore(i);
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116 | } else if (action instanceof Offer) {
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117 | scoreOfBids += getScore(i);
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118 | bidsFromAgents.add(((Offer) action).getBid());
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119 | agentsWithBids.add(i);
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120 | }
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121 | i++;
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122 | }
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123 | if (scoreOfAccepts > scoreOfBids) {
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124 | return new Accept(getPartyId(),
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125 | ((ActionWithBid) getLastReceivedAction()).getBid());
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126 |
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127 | } else if (scoreOfBids > scoreOfAccepts) {
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128 | return new Offer(getPartyId(),
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129 | getRandomizedAction(agentsWithBids, bidsFromAgents));
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130 | }
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131 |
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132 | return new Offer(getPartyId(), getBestBid());
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133 | }
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134 |
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135 | private Bid getRandomizedAction(ArrayList<Integer> agentsWithBids,
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136 | ArrayList<Bid> bidsFromAgents) {
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137 | double[] possibilities = new double[agentsWithBids.size()];
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138 |
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139 | int i = 0;
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140 | for (Integer agentWithBid : agentsWithBids) {
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141 | possibilities[i] = getScore(agentWithBid);
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142 | i++;
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143 | }
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144 | possibilities = UtilFunctions.normalize(possibilities);
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145 | UtilFunctions.print(possibilities);
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146 | double randomPick = random.nextDouble();
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147 |
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148 | double acc = 0;
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149 | i = 0;
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150 | for (double possibility : possibilities) {
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151 | acc += possibility;
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152 |
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153 | if (randomPick < acc) {
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154 | return bidsFromAgents.get(i);
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155 | }
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156 |
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157 | i++;
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158 | }
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159 |
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160 | return null;
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161 | }
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162 |
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163 | /**
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164 | * All offers proposed by the other parties will be received as a message.
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165 | * You can use this information to your advantage, for example to predict
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166 | * their utility.
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167 | *
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168 | * @param sender
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169 | * The party that did the action. Can be null.
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170 | * @param action
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171 | * The action that party did.
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172 | */
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173 | @Override
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174 | public void receiveMessage(AgentID sender, Action action) {
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175 | super.receiveMessage(sender, action);
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176 |
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177 | for (NegotiationParty agent : agents) {
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178 | agent.receiveMessage(sender, action);
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179 | }
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180 |
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181 | }
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182 |
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183 | @Override
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184 | public String getDescription() {
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185 | return "ANAC2016";
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186 | }
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187 |
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188 | private Bid getBestBid() {
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189 | try {
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190 | return this.utilitySpace.getMaxUtilityBid();
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191 | } catch (Exception e) {
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192 | e.printStackTrace();
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193 | }
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194 | return null;
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195 | }
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196 |
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197 | private boolean isBestOfferTime() {
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198 | return this.getTimeLine()
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199 | .getCurrentTime() < (this.getTimeLine().getTotalTime()
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200 | * percentageOfOfferingBestBid);
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201 | }
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202 | }
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