source: src/main/java/agents/anac/y2014/Aster/GetAcceptProb.java@ 316

Last change on this file since 316 was 1, checked in by Wouter Pasman, 6 years ago

Initial import : Genius 9.0.0

File size: 8.3 KB
Line 
1package agents.anac.y2014.Aster;
2
3import java.util.ArrayList;
4
5import genius.core.Bid;
6import genius.core.utility.AbstractUtilitySpace;
7
8public class GetAcceptProb {
9 private AbstractUtilitySpace utilitySpace;
10 private double target;
11 private double bidTarget;
12 private double sum;
13 private double sum2;
14 private double prob;
15 private double deviation;
16 private double estimateMax;
17 private int rounds;
18 private double tremor;
19 private double minimumConcessionUtility;
20 private double minimum;
21 private double maximumConcessionUtility;
22 private double maximum;
23 private double alpha;
24 private double diff;
25 private double alphaInit;
26 private double estrangement;
27 private boolean firstFlag;
28 private ArrayList<Double> oppUtilHistory;
29 private ArrayList<Double> oppShort_EMA;
30 private ArrayList<Double> oppLong_EMA;
31 private static final int EMA_SHORT = 26;
32 private static final int EMA_LONG = 52;
33
34 public GetAcceptProb(AbstractUtilitySpace utilitySpace) {
35 this.utilitySpace = utilitySpace;
36 this.target = 1.0D;
37 this.bidTarget = 1.0D;
38 this.sum = 0.0D;
39 this.sum2 = 0.0D;
40 this.prob = 0.0D;
41 this.rounds = 0;
42 this.tremor = 3.0D;
43 this.minimumConcessionUtility = 0.1D;
44 this.maximumConcessionUtility = 1.0D;
45 this.maximum = 1.0D;
46 this.deviation = 0.0D;
47 this.estimateMax = 0.0D;
48 this.alphaInit = 1.0D;
49 this.estrangement = 1.0D;
50 this.firstFlag = false;
51 this.oppUtilHistory = new ArrayList<Double>();
52 this.oppShort_EMA = new ArrayList<Double>();
53 this.oppLong_EMA = new ArrayList<Double>();
54 this.checkDiscountFactor();
55 }
56
57 /**
58 * Calculate Accept Probability
59 *
60 */
61 public double getAcceptProbability(Bid offeredBid, double oppMaxUtil,
62 double time) throws Exception {
63 double unDiscountedOfferedUtil = utilitySpace.getUtility(offeredBid);
64 double offeredUtility = utilitySpace.getUtilityWithDiscount(offeredBid,
65 time);
66 double weight, mean, variance, rand, alpha, beta, preTarget, preTarget2, ratio, ratio2;
67 double utilityEval, satisfy;
68
69 checkException(offeredUtility, time); // checkException
70
71 if (offeredUtility > 1.0D) {
72 offeredUtility = 1.0D;
73 }
74
75 // History�追加
76 oppUtilHistory.add(unDiscountedOfferedUtil);
77
78 if (oppUtilHistory.size() > EMA_SHORT) {
79 double emaUtility;
80 if (oppShort_EMA.isEmpty()) {
81 oppShort_EMA.add(calcN_EMA_init(oppUtilHistory, EMA_SHORT));
82 } else {
83 emaUtility = oppShort_EMA.get(oppShort_EMA.size() - 1);
84 oppShort_EMA.add(calcN_EMA(emaUtility, unDiscountedOfferedUtil,
85 EMA_SHORT));
86 }
87 if (oppUtilHistory.size() > EMA_LONG) {
88 if (oppLong_EMA.isEmpty()) {
89 oppLong_EMA.add(calcN_EMA_init(oppUtilHistory, EMA_LONG));
90 } else {
91 emaUtility = oppLong_EMA.get(oppLong_EMA.size() - 1);
92 oppLong_EMA.add(calcN_EMA(emaUtility,
93 unDiscountedOfferedUtil, EMA_LONG));
94 estrangement = calcEMAEstrangement();
95 }
96 }
97 }
98
99 // ��付�
100 if ((this.estimateMax != 0.0) && (offeredUtility > this.estimateMax)) {
101 weight = offeredUtility / estimateMax;
102 offeredUtility *= weight;
103 } else {
104 weight = 1.0;
105 }
106
107 // �計値
108 sum += offeredUtility;
109 // 効用値�二乗��計
110 sum2 += offeredUtility * offeredUtility;
111 // ラウンド数
112 rounds += weight;
113
114 // (加�)平�値
115 mean = sum / rounds;
116
117 // 分散
118 variance = sum2 / rounds - mean * mean;
119 // 相手�推定行動幅
120 deviation = Math.sqrt(variance * 12.0D);
121
122 if (Double.isNaN(deviation)) {
123 deviation = 0.0;
124 }
125
126 // �在推定�れる�相手�ら引�出�る最大効用値
127 estimateMax = mean + (1.0D - mean) * deviation;
128 double diffest = oppMaxUtil - estimateMax;
129 if (diffest > 0) {
130 estimateMax *= 1.0D + diffest;
131 }
132
133 if (firstFlag) {
134 estimateMax = .990 * estrangement;
135 }
136
137 // 接近関数
138 alpha = alphaInit + tremor + (10.0D * mean) - (2.0D * tremor * mean);
139 rand = minimum + (maximum - minimum) * Math.random();
140 beta = alpha + rand * tremor - tremor / 2.0D;
141
142 // 接近関数を基�計算
143 preTarget = calcPreTarget(alpha, time);
144 preTarget2 = calcPreTarget(beta, time);
145
146 // 相手��譲歩比率
147 ratio = calcRatio(preTarget);
148 ratio2 = calcRatio(preTarget2);
149
150 // 補正
151 target = calcTarget(ratio, preTarget, time, oppMaxUtil, false);
152 bidTarget = calcTarget(ratio2, preTarget2, time, oppMaxUtil, true)
153 * estrangement;
154 if (bidTarget > 1.0D) {
155 bidTarget = 0.99D;
156 }
157
158 utilityEval = offeredUtility - oppMaxUtil;
159 satisfy = offeredUtility - target;
160 prob = Math.pow(time, alpha) / alpha + utilityEval + satisfy;
161
162 if ((prob < 0.1D) || (Double.isNaN(prob))) {
163 prob = 0.0D;
164 }
165
166 return prob;
167 }
168
169 /**
170 * getCurrentBidTarget
171 *
172 */
173 public double getCurrentBidTarget() {
174 return this.bidTarget;
175 }
176
177 public double getEstimateMax() {
178 return this.estimateMax;
179 }
180
181 /**
182 * �回設定
183 *
184 * @param sessionNr
185 * @param maxConcessionUtility
186 * @param opponentMinUtility
187 */
188 public void setTargetParam(int sessionNr, double maxConcessionUtility,
189 double opponentMinUtility) {
190 // �回�強気
191 if (sessionNr == 0) {
192 this.firstFlag = true;
193 this.alpha = 15;
194 this.diff = 1.0;
195 } else {
196 this.alpha = 15;
197 this.diff = 0.5 * (0.5 + utilitySpace.getDiscountFactor());
198 this.maximumConcessionUtility = 1.0D;
199 this.minimumConcessionUtility = opponentMinUtility;
200 }
201 }
202
203 public void updateMinConcessionUtil(double minConcessionUtil) {
204 this.minimumConcessionUtility = minConcessionUtil;
205 }
206
207 private double calcPreTarget(double x, double t) {
208 return 1.0D - Math.pow(t, x) * (1.0D - this.estimateMax);
209 }
210
211 private double calcRatio(double preTarget) {
212 double preRatio = (this.deviation + this.minimumConcessionUtility)
213 / (1.0D - preTarget);
214
215 if ((Double.isNaN(preRatio)) || (preRatio > 2.0D)) {
216 return 2.0D;
217 } else {
218 return preRatio;
219 }
220 }
221
222 private double calcTarget(double ratio, double preTarget, double t,
223 double oppMax, boolean checkdf) {
224 double target = (ratio * preTarget + maximumConcessionUtility - ratio);
225 double pt;
226 if ((checkdf) && (utilitySpace.getDiscountFactor() < 1.0)) {
227 pt = 1.0 / (1.0 + Math.exp(-alpha * (t - diff)));
228 } else {
229 pt = Math.pow(t, 3);
230 }
231 double m = pt * -300.0D + 400.0D;
232 if (target > this.estimateMax) {
233 double r = target - this.estimateMax;
234 double f = 1.0D / (r * r);
235 double app;
236
237 if ((f > m) || (Double.isNaN(f))) {
238 f = m;
239 }
240 app = r * f / m;
241 target -= app;
242 } else {
243 target = this.estimateMax;
244 }
245
246 if (Double.isNaN(target)) {
247 target = 1.0D;
248 }
249
250 target = checkReservationValue(target, t);
251
252 return target;
253 }
254
255 // EMA�計算(�回)
256 private double calcN_EMA_init(ArrayList<Double> oppUtilHist, int n) {
257 double ave = 0.0D;
258 for (int i = 0; i < n; i++) {
259 ave += oppUtilHist.get(i);
260 }
261 return ave / n;
262 }
263
264 // EMA�計算
265 private double calcN_EMA(double prevutil, double util, int n) {
266 return prevutil + (2.0D / (1.0D + (double) n)) * (util - prevutil);
267 }
268
269 // EMA2線カイリ率
270 private double calcEMAEstrangement() {
271 int size = oppLong_EMA.size() - 1;
272 double emaShort = oppShort_EMA.get(size + EMA_SHORT);
273 double emaLong = oppLong_EMA.get(size);
274 double estrangement = 1.0 + ((emaShort - emaLong) / emaLong);
275 if (estrangement > 1.0) {
276 estrangement = 1.0;
277 }
278 return estrangement;
279 }
280
281 private double checkReservationValue(double target, double t) {
282 double reservationValue = utilitySpace
283 .getReservationValueWithDiscount(t);
284
285 if (!Double.isNaN(reservationValue)) {
286 if (target < reservationValue) {
287 return reservationValue;
288 }
289 }
290 return target;
291 }
292
293 private void checkException(double oUtility, double t) throws Exception {
294 if ((oUtility < 0.0D) || (oUtility > 1.05D)) {
295 throw new Exception("utility " + oUtility + " outside [0,1]");
296 }
297 if ((t < 0.0D) || (t > 1.0D)) {
298 throw new Exception("time " + t + " outside [0,1]");
299 }
300 }
301
302 private void checkDiscountFactor() {
303 double discountfactor = utilitySpace.getDiscountFactor();
304
305 if (discountfactor < 1.0) {
306 this.minimum = 0.5;
307 } else {
308 this.minimum = 0.7;
309 }
310 }
311}
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