source: src/main/java/agents/anac/y2016/terra/etc/negotiationStrategy.java@ 117

Last change on this file since 117 was 1, checked in by Wouter Pasman, 6 years ago

Initial import : Genius 9.0.0
File size: 7.1 KB
Line 
1package agents.anac.y2016.terra.etc;
2
3import java.util.HashMap;
4
5import genius.core.Bid;
6import genius.core.utility.AbstractUtilitySpace;
7
8// 戦略
9// 提案＋合意の双方を考える必要性
10// 序盤、中盤、終盤で交渉のまとめ方を変える
11// 前半(0~90)
12// 基本的には自分の効用値の高いオファー行う(相手が自分の提案から良いのを見つけてくれる可能性も高まるため)
13// 効用値の閾値は高め
14// 留保価格を考え早めに交渉がまとまるのであればまとめてしまう
15// 中盤 ~終盤(90~170)
16// 自分にとって欲張ってどのくらい相手に提案を飲ませられるかの最大値を提示
17// 終盤(170~180)
18// まとめの時期
19// 相手のこれまでの行動により自分の閾値を決める(基本は相手が妥協してくれそうなギリギリのラインを狙う)
20// 相手が提案(二人の提案の最大値のうち小さい方)よりも低い値で提案+合意を行わないようにする
21// また、minの値を決めそれより低い数値では提案+合意を行わない
22//
23// その他のアイデア
24//
25//
26
27public class negotiationStrategy {
28 private AbstractUtilitySpace utilitySpace;
29 private negotiationInfo negotiationInfo;
30 private double rv;// 留保価格
31
32 //
33 public negotiationStrategy(AbstractUtilitySpace utilitySpace,
34 negotiationInfo negotiationInfo) {
35 this.utilitySpace = utilitySpace;
36 this.negotiationInfo = negotiationInfo;
37 rv = utilitySpace.getReservationValue();
38 }
39
40 // 受容判定
41 public boolean selectAccept(Bid offeredBid, double time) {
42 try {
43 if (utilitySpace.getUtility(offeredBid) >= getThreshold(time)/*-0.1*(1-time)*/) {
44 return true;
45 } else {
46 if (time > (173.0 / 180.0)
47 || (time > (15.0 / 180.0) && utilitySpace
48 .getDiscountFactor() < 0.9)
49 || (negotiationInfo.getIssues().size() < 5 && time > (10.0 / 180.0))) {
50 HashMap<Object, Double> recentOfferedUtility = negotiationInfo
51 .getUtilityAverage(negotiationInfo
52 .getRecentOfferedList());
53 if (recentOfferedUtility.isEmpty())
54 return false;
55 double ave = 0;
56 for (Double tave : recentOfferedUtility.values()) {
57 ave += tave;
58 }
59 ave /= 2;
60 if (time < (178.0 / 180.0)) {
61 if (time < (30.0 / 180.0)) {
62 if ((utilitySpace.getUtility(offeredBid) > 0.72))
63 return true;
64 else
65 return false;
66 }
67 if ((utilitySpace.getUtility(offeredBid) - utilitySpace
68 .getUtility(offeredBid)
69 * (1.0 - utilitySpace.getDiscountFactor())
70 * time)
71 - (ave - ave
72 * (1.0 - utilitySpace
73 .getDiscountFactor()) * time) > 0.0)
74 return true;
75 } else
76 return true;
77 }
78 return false;
79 }
80 } catch (Exception e) {
81 System.out.println("受容判定に失敗しました");
82 e.printStackTrace();
83 return false;
84 }
85 }
86
87 // 交渉終了判定
88 public boolean selectEndNegotiation(double time) {
89 HashMap<Object, Double> recentOfferedUtility = negotiationInfo
90 .getUtilityAverage(negotiationInfo.getRecentOfferedList());
91
92 // System.out.println(utilitySpace.getDiscountFactor());
93 if (recentOfferedUtility.isEmpty() || time < (15.0 / 180.0) || rv < 0.1)
94 return false;
95
96 double ave = 0;
97 for (Double tave : recentOfferedUtility.values()) {
98 ave += tave;
99 }
100 ave /= 2;
101
102 if ((ave - ave * (1.0 - utilitySpace.getDiscountFactor()) * time)
103 - (rv - rv * (1.0 - utilitySpace.getDiscountFactor() * time)) <= 0)
104 return true;
105 return false;
106 }
107
108 enum NegotiationPhase {
109 FIRST_Claim, Claim, SUMMARIZE
110 };
111
112 private NegotiationPhase selectPhase(double time, double ave) {
113 if ((time < (30.0 / 180.0))
114 || (utilitySpace.getDiscountFactor() > 0.9
115 && time < (170.0 / 180.0) || (rv < 0.1)))
116 return NegotiationPhase.FIRST_Claim;
117 if ((ave - ave * (1.0 - utilitySpace.getDiscountFactor()) * time) > 0.3)
118 return NegotiationPhase.Claim;
119 return NegotiationPhase.SUMMARIZE;
120 }
121
122 public double getThreshold(double time) {
123 HashMap<Object, Double> recentOfferedUtility = negotiationInfo
124 .getUtilityAverage(negotiationInfo.getRecentOfferedList());
125 double ave = 0;
126 for (Double tave : recentOfferedUtility.values()) {
127 ave += tave;
128 }
129 ave /= 2;
130 NegotiationPhase phase = selectPhase(time, ave);
131
132 if (phase == NegotiationPhase.FIRST_Claim) {
133 double threshold = 0;
134
135 if (utilitySpace.getDiscountFactor() > 0.9) {// 割引効用がない場合
136 if (time < (60.0 / 180.0))
137 threshold = 1.0 - time * 0.5;//
138 else
139 threshold = 0.9;
140 } else {// ある場合
141 // System.out.println(time*(1-utilitySpace.getDiscountFactor()));
142 threshold = 1 - time * (1 - utilitySpace.getDiscountFactor())
143 * 2.3;// Math.pow(time*time*time,(1-utilitySpace.getDiscountFactor()));
144 // threshold=1.0-time*0.5;
145 if (threshold < 0.7)
146 threshold = 0.7;
147 }
148 return threshold;
149 } else if (phase == NegotiationPhase.Claim) {
150 HashMap<Object, Double> utilityMax = new HashMap<>();
151 HashMap<Object, Double> agreedUtilityMax = negotiationInfo
152 .getUtilityMax(negotiationInfo.getAgreedList());
153 HashMap<Object, Double> offeredUtilityAverage = negotiationInfo
154 .getUtilityAverage(negotiationInfo.getRecentOfferedList());
155
156 for (Object agent : negotiationInfo.getOpponet()) {
157 if (agreedUtilityMax.containsKey(agent)) {
158 if (offeredUtilityAverage.get(agent) > agreedUtilityMax
159 .get(agent)) {
160 utilityMax.put(agent, offeredUtilityAverage.get(agent));
161 } else {
162 utilityMax.put(agent, agreedUtilityMax.get(agent));
163 }
164 } else {
165 utilityMax.put(agent, offeredUtilityAverage.get(agent));
166 }
167 }
168
169 double threshold = 0.5;
170 double p1 = 1.3;
171 for (double tvalue : utilityMax.values()) {
172 if (threshold < tvalue)
173 threshold = tvalue;
174 }
175 if (threshold * p1 > 0.9)
176 return threshold = 0.9;
177 return threshold = threshold * p1;
178 } else {
179 // minを相手が合意するできるだけmaxに設定
180 // HashMap<Object, Double>
181 // offeredUtilityMax=negotiationInfo.getUtilityMax(negotiationInfo.getOfferedList());
182 HashMap<Object, Double> offeredUtilityMax = negotiationInfo
183 .getUtilityAverage(negotiationInfo.getRecentOfferedList());
184 HashMap<Object, Double> agreedUtilityMax = negotiationInfo
185 .getUtilityMax(negotiationInfo.getAgreedList());
186
187 HashMap<Object, Double> utilityMax = new HashMap<>();
188 for (Object agent : negotiationInfo.getOpponet()) {
189 if (agreedUtilityMax.containsKey(agent)) {
190 if (offeredUtilityMax.get(agent) > agreedUtilityMax
191 .get(agent)) {
192 utilityMax.put(agent, offeredUtilityMax.get(agent));
193 } else {
194 utilityMax.put(agent, agreedUtilityMax.get(agent));
195 }
196 } else {
197 utilityMax.put(agent, offeredUtilityMax.get(agent));
198 }
199 }
200 double threshold = 2.0;// 2人のうち小さい方の効用値を閾値とする
201
202 double min = 0.75 - time * (1 - utilitySpace.getDiscountFactor())
203 * 0.5;
204 // if(negotiationInfo.getRound()<100)min=0.55; //minよりも閾値が小さくならないように
205
206 for (double tvalue : utilityMax.values()) {
207 if (threshold > tvalue)
208 threshold = tvalue;
209 }
210 if (threshold < min)
211 threshold = min;
212 return threshold;
213 }
214
215 }
216}
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