source: src/main/java/agents/anac/y2017/parsagent3/ShahAgent.java

Last change on this file was 127, checked in by Wouter Pasman, 6 years ago

#41 ROLL BACK of rev.126 . So this version is equal to rev. 125

File size: 21.8 KB
RevLine 
[127]1package agents.anac.y2017.parsagent3;
2
3import java.util.List;
4
5import java.util.ArrayList;
6import java.util.HashMap;
7import java.util.Map;
8import java.util.Random;
9import java.util.Set;
10
11import negotiator.parties.AbstractTimeDependentNegotiationParty;
12
13import genius.core.AgentID;
14import genius.core.Bid;
15import genius.core.actions.Accept;
16import genius.core.actions.Action;
17import genius.core.actions.EndNegotiation;
18import genius.core.actions.Offer;
19import genius.core.boaframework.SortedOutcomeSpace;
20import genius.core.issue.Issue;
21import genius.core.issue.IssueDiscrete;
22import genius.core.list.Tuple;
23import genius.core.parties.NegotiationInfo;
24import genius.core.persistent.PersistentDataType;
25import genius.core.persistent.StandardInfo;
26import genius.core.persistent.StandardInfoList;
27import genius.core.timeline.DiscreteTimeline;
28
29public class ShahAgent extends AbstractTimeDependentNegotiationParty {
30 Bid lastBid;
31 Bid myLastBid;
32 Bid myBestBid;
33 Bid lastReceivedBid;
34 String oppAName;
35 String oppBName;
36 private StandardInfoList history;
37 boolean fornullAgent = false;
38 int round;
39 Integer TimePeriod;
40 ArrayList<Bid> oppABids = new ArrayList<Bid>();
41 ArrayList<Bid> oppBBids = new ArrayList<Bid>();
42 ArrayList<Cluster> clusterA;
43 ArrayList<Cluster> clusterB;
44 ClusterHistory clusterHistoryA;
45 ClusterHistory clusterHistoryB;
46 int numberOfclusters = 20;
47 int slotNum = 100;
48 double myConcessionRate = 0.15d;
49 double ConstantUtility = 1.0d;
50 float myReservation = 0.8f;
51 int currentSlotA;
52 int currentSlotB;
53 boolean clusterIsRefreshA;
54 boolean clusterIsRefreshB;
55 float concessionA;
56 float sumConcessionA;
57 float sumConcessionB;
58 int concessionNumber;
59 // ArrayList<Float> concessionAHis;
60 // ArrayList<Float> concessionBHis;
61 float concessionB;
62 ArrayList<Bid> centsA = new ArrayList<Bid>();
63 ArrayList<Bid> centsB = new ArrayList<Bid>();
64 private double rValue;
65 private double dFactor;
66 SortedOutcomeSpace outcomeSpace;
67 float minLimit = 0.85f;
68 boolean conceed = true;
69
70 public ShahAgent() {
71 fornullAgent = false;
72 }
73
74 public void clusterOpponentBidWithoutFirstLevel(ArrayList<Bid> newCenters,
75 ArrayList<Bid> bidHistory, String opParty, boolean repeat) {
76
77 int k = numberOfclusters;
78 ArrayList<Cluster> clusters;
79 if (opParty.equals("A"))
80 clusters = clusterA;
81 else
82 clusters = clusterB;
83 if (!repeat) {
84
85 if (opParty.equals("A"))
86 clusterA = clusters;
87 else
88 clusterB = clusters;
89 }
90 for (int i = 0; i < newCenters.size(); ++i)
91 defineCluster(clusters, newCenters.get(i));
92 if (refreshClusterCenters(clusters)) {
93
94 for (int i = 0; i < clusters.size(); ++i) {
95 clusters.get(i).getMembers().clear();
96
97 }
98 clusterOpponentBid(bidHistory, opParty, true);
99 }
100 }
101
102 public void clusterOpponentBid(ArrayList<Bid> bidHistory, String opParty,
103 boolean repeat) {
104
105 int k = numberOfclusters;
106 ArrayList<Cluster> clusters;
107 if (opParty.equals("A"))
108 clusters = clusterA;
109 else
110 clusters = clusterB;
111 if (bidHistory.size() > k) {
112 if (!repeat) {
113 if (clusters == null) {
114 clusters = new ArrayList<Cluster>(k);
115 for (int i = 0; i < k; ++i) {
116 clusters.add(new Cluster());
117 }
118 }
119 if (opParty.equals("A"))
120 clusterA = clusters;
121 else
122 clusterB = clusters;
123
124 int next = bidHistory.size() / k;
125 int temp = 0;
126 for (int i = 0; i < k; ++i) {
127 clusters.get(i).setCenter(bidHistory.get(temp));
128 temp += next;
129 }
130 for (int i = 0; i < clusters.size(); ++i) {
131 if (clusters.get(i).getMembers() != null)
132 clusters.get(i).getMembers().clear();
133 }
134 }
135 for (int i = 0; i < bidHistory.size(); ++i) {
136 defineCluster(clusters, bidHistory.get(i));
137 }
138 if (refreshClusterCenters(clusters)) {
139
140 for (int i = 0; i < clusters.size(); ++i) {
141 clusters.get(i).getMembers().clear();
142 }
143 clusterOpponentBid(bidHistory, opParty, true);
144 }
145 }
146 }
147
148 public boolean refreshClusterCenters(ArrayList<Cluster> clusters) {
149 // ArrayList<Issue> dissues = utilitySpace.getDomain().getIssues();
150 boolean needRefresh = false;
151 for (int i = 0; i < clusters.size(); ++i) {
152 Cluster clus = clusters.get(i);
153 clus.getMembers().add(0, clus.getCenter());
154 float[] dist = new float[clus.getMembers().size()];
155 float[][] dismatrix = new float[clus.getMembers().size()][clus
156 .getMembers().size()];
157 for (int j = 0; j < clus.getMembers().size(); ++j) {
158 Bid checkBid = clus.getMembers().get(j);
159 float distance = 0;
160 for (int k = 0; k < j; ++k) {
161 distance += dismatrix[k][j];
162 }
163 for (int k = j + 1; k < clus.getMembers().size(); ++k) {
164 // if (k != j) {
165 float temp = calDist(checkBid, clus.getMembers().get(k));
166 distance += temp;
167 dismatrix[j][k] = temp;
168
169 }
170 dist[j] = distance / clus.getMembers().size();
171 distance = 0f;
172 }
173 float min = dist[0];
174 String out = dist[0] + "";
175
176 int index = 0;
177 for (int n = 1; n < dist.length; ++n) {
178 // out += " " + dist[n];
179
180 if (dist[n] < min) {
181 min = dist[n];
182 index = n;
183 }
184 }
185
186 if (index != 0) {
187 needRefresh = true;
188 }
189
190 clus.setCenter(clus.getMembers().get(index));
191 clus.getMembers().remove(index);
192
193 }
194 return needRefresh;
195 }
196
197 public void defineCluster(ArrayList<Cluster> clusters, Bid bid) {
198
199 float[] dises = new float[clusters.size()];
200 for (int i = 0; i < clusters.size(); ++i) {
201 dises[i] = calDist(bid, clusters.get(i).getCenter());
202 if (clusters.get(i).members == null)
203 clusters.get(i).members = new ArrayList<Bid>();
204 }
205 float min = dises[0];
206 int index = 0;
207 for (int j = 0; j < dises.length; ++j) {
208 if (dises[j] < min) {
209 min = dises[j];
210 index = j;
211 }
212 }
213
214 clusters.get(index).members.add(bid);
215
216 }
217
218 @Override
219 public String getDescription() {
220 return "ANAC2017";
221 }
222
223 class ClusterHistory {
224 ArrayList<ArrayList<Bid>> prevCenters;
225 ArrayList<Float> maxDistance;
226 ArrayList<Float> distributionFactor;
227 ArrayList<Integer> submitTime;
228 }
229
230 class Cluster {
231 Bid center;
232 ArrayList<Bid> members;
233
234 public void setCenter(Bid center) {
235 this.center = center;
236 }
237
238 public Bid getCenter() {
239 return center;
240 }
241
242 public void setMembers(ArrayList<Bid> members) {
243 this.members = members;
244 }
245
246 public ArrayList<Bid> getMembers() {
247 return members;
248 }
249 }
250
251 @Override
252 public void init(NegotiationInfo info) {
253 super.init(info);
254 rValue = utilitySpace.getReservationValue().doubleValue();
255 dFactor = utilitySpace.getDiscountFactor();
256 outcomeSpace = new SortedOutcomeSpace(getUtilitySpace());
257
258 if (getData().getPersistentDataType() != PersistentDataType.STANDARD) {
259 throw new IllegalStateException("need standard persistent data");
260 }
261 history = (StandardInfoList) getData().get();
262
263 if (!history.isEmpty()) {
264 // System.out.println("sizeeee " + history.size());
265 Map<String, Double> maxutils = new HashMap<String, Double>();
266 Map<String, Double> minutils = new HashMap<String, Double>();
267 StandardInfo lastinfo = history.get(history.size() - 1);
268 int i = 0;
269 for (Tuple<String, Double> offered : lastinfo.getUtilities()) {
270 ++i;
271 String party = offered.get1().indexOf("@") != -1 ? offered
272 .get1().substring(0, offered.get1().indexOf("@"))
273 : offered.get1();
274 Double util = offered.get2();
275 maxutils.put(party, maxutils.containsKey(party)
276 ? Math.max(maxutils.get(party), util) : util);
277 minutils.put(party, minutils.containsKey(party)
278 ? Math.min(minutils.get(party), util) : util);
279 }
280 Set keys = maxutils.keySet();
281 double conceedA = 0;
282 double conceedB = 0;
283 for (Object partyK : keys) {
284 if (((String) partyK).indexOf("ShahAgent") == -1) {
285 if (conceedA == 0) {
286 conceedA = maxutils.get(partyK) - minutils.get(partyK);
287 } else
288 conceedB = maxutils.get(partyK) - minutils.get(partyK);
289 }
290
291 }
292 if (conceedA < 0.3 || conceedB < 0.3)
293 conceed = false; // for choosing policy of conceesion
294
295 if (conceedA > 0.8 && conceedB > 0.8) {
296 minLimit = 0.7f;
297 }
298 if (conceedA > 0.6 && conceedB > 0.6) {
299 minLimit = 0.8f;
300 }
301 }
302
303 }
304
305 public boolean isLastSecond() {
306 double time = timeline.getTime();
307 double second = time * 3.0 * 60.0;
308 if (second >= (3.0 * 60 - 1.0))
309 return true;
310 return false;
311 }
312
313 public boolean isLastTime() {
314 double time = timeline.getTime();
315 double second = time * 3.0 * 60.0;
316 if (second >= (3.0 * 60 - 1.0) + 0.8)
317 return true;
318 return false;
319 }
320
321 @Override
322 public Action chooseAction(List validActions) {
323
324 if (round == 100)
325 round = 0;
326 ++round;
327 double time = timeline.getTime();
328 if (selectEndNegotiation(time) && utilitySpace
329 .getUtility(lastBid) < rValue * Math.pow(dFactor, time)) {
330 return new EndNegotiation(getPartyId());
331
332 }
333 if (lastBid != null
334 && utilitySpace.getUtility(lastBid) >= getMyutility()) {
335 return new Accept(getPartyId(), lastReceivedBid);
336 // } else if (isLastSecond() &&
337 // (lastBid != null && utilitySpace.getUtility(lastBid) >=
338 // (getMyutility() - 0.1))) {
339 // return new Accept(getPartyId(),lastReceivedBid);
340 } else if (isLastTime() && (lastBid != null && utilitySpace
341 .getUtility(lastBid) >= (getMyutility() - 0.05))) {
342 return new Accept(getPartyId(), lastReceivedBid);
343 } else { // propose a new bid
344 Bid newBid;
345
346 try {
347 double random;
348 double temp = getLowerBound();
349 if (temp < minLimit)
350 temp = minLimit;
351
352 do {
353 random = new Random().nextDouble();
354 } while (random <= temp);
355 newBid = outcomeSpace.getBidNearUtility(random).getBid();
356
357 } catch (Exception e) {
358 newBid = outcomeSpace.getBidNearUtility(0.9).getBid();
359 }
360 myLastBid = newBid;
361 lastBid = myLastBid;
362 return new Offer(getPartyId(), newBid);
363 }
364
365 }
366
367 public double getLowerBound() {
368 double offset = (timeline instanceof DiscreteTimeline)
369 ? 1.0D / ((DiscreteTimeline) timeline).getTotalRounds() : 0.0D;
370 if (conceed)
371 minLimit = myReservation;
372 return (minLimit
373 + ((0.9f - minLimit) * (1 - myF(timeline.getTime() - offset))));
374 }
375
376 /**
377 * All offers proposed by the other parties will be received as a message.
378 * You can use this information to your advantage, for example to predict
379 * their utility.
380 *
381 * @param sender
382 * The party that did the action.
383 * @param action
384 * The action that party did.
385 */
386 @Override
387 public void receiveMessage(AgentID sender, Action action) {
388 super.receiveMessage(sender, action);
389 String agentName = sender != null ? sender.toString() : "null";
390 fornullAgent = !fornullAgent;
391 if (action != null && action instanceof Offer) {
392 Bid newBid = ((Offer) action).getBid();
393 lastReceivedBid = ((Offer) action).getBid();
394 try {
395 if (oppAName != null && oppAName.equals(agentName)) {
396 addBidToList(oppABids, newBid);
397 currentSlotA++;
398
399 } else if (oppBName != null && oppBName.equals(agentName)) {
400 addBidToList(oppBBids, newBid);
401 currentSlotB++;
402
403 } else if (oppAName == null) {
404 oppAName = agentName;
405 } else if (oppBName == null) {
406 oppBName = agentName;
407 }
408
409 lastBid = newBid;
410 } catch (Exception e) {
411 // System.out.println("Exception 33 " + e.getMessage());
412 }
413 } else if (action != null && action instanceof Accept) {
414 Bid newBid = lastBid;
415 if (oppAName != null && oppAName.equals(agentName)) {
416 addBidToList(oppABids, newBid);
417 currentSlotA++;
418
419 } else if (oppBName != null && oppBName.equals(agentName)) {
420 addBidToList(oppBBids, newBid);
421 currentSlotB++;
422
423 } else if (oppAName == null) {
424 oppAName = agentName;
425 } else if (oppBName == null) {
426 oppBName = agentName;
427 }
428 }
429 if (round == slotNum && oppAName != null
430 && oppAName.equals(agentName)) {
431
432 clusterOpponentBid(oppABids, "A", false);
433 clusterIsRefreshA = true;
434 TimePeriod = new Integer(
435 (new Double(timeline.getCurrentTime() / 60)).intValue()
436 + 1);
437
438 }
439 if (round == slotNum && oppBName != null
440 && oppBName.equals(agentName)) {
441
442 clusterOpponentBid(oppBBids, "B", false);
443
444 clusterIsRefreshB = true;
445 TimePeriod = new Integer(
446 (new Double(timeline.getCurrentTime() / 60)).intValue()
447 + 1);
448 }
449
450 // Here you can listen to other parties' messages
451 }
452
453 public void addBidToList(ArrayList<Bid> mybids, Bid newbid) {
454 mybids.add(newbid);
455 }
456
457 public float calDist(Bid b1, Bid b2) {
458 List<Issue> dissues = utilitySpace.getDomain().getIssues();
459 float distance = 0;
460 Set<Integer> keys = b1.getValues().keySet();
461 Object[] keyCenterVals = b2.getValues().keySet().toArray();
462 Object[] keyVals = keys.toArray();
463 for (int j = 0; j < dissues.size(); ++j) {
464
465 if (dissues.get(j) instanceof IssueDiscrete) {
466
467 if (!b1.getValues().get(keyVals[j]).toString().equals(
468 b2.getValues().get(keyCenterVals[j]).toString())) {
469 distance += 1;
470 }
471 } else {
472 float dis = ((Float
473 .parseFloat(b1.getValues().get(keyVals[j]).toString()))
474 - (Float.parseFloat(b2.getValues().get(keyCenterVals[j])
475 .toString())) / dissues.get(j).getChildCount());
476 distance += dis < 0 ? dis * -1f : dis;
477 }
478 }
479
480 return distance;
481 }
482
483 public double getMyTargetUtility(float pmin) {
484
485 double offset = (timeline instanceof DiscreteTimeline)
486 ? 1.0D / ((DiscreteTimeline) timeline).getTotalRounds() : 0.0D;
487 return (pmin + ((1.0f - pmin) * (1 - myF(timeline.getTime() - offset))))
488 * Math.pow(dFactor, timeline.getTime());
489 }
490
491 public double myF(double t) {
492 if (getE() == 0.0D)
493 return 0.0D;
494 else
495 return Math.pow(t, 1.0D / getE());
496 }
497
498 public double getMyutility() {
499 int clusterHistoryASize = 0;
500 int clusterHistoryBSize = 0;
501 float w1 = 0.4f, w2 = 0.2f, w3 = 0.4f;
502 if (clusterIsRefreshA && clusterA != null) {
503 ArrayList<Bid> centersA = new ArrayList<Bid>();
504 float[][] distA = new float[numberOfclusters][numberOfclusters];
505 float unormalA = 0;
506 float normal = 1.0f / numberOfclusters;
507 for (int i = 0; i < clusterA.size(); ++i) {
508 if (clusterA.get(i).getMembers().size() != 0)
509 centersA.add(clusterA.get(i).getCenter());
510
511 float temp = normal
512 - ((float) clusterA.get(i).getMembers().size())
513 / (float) oppABids.size();
514 unormalA += temp < 0 ? -1 * temp : temp;
515 }
516
517 float maxA = 0;
518
519 for (int i = 0; i < numberOfclusters && i < centersA.size(); ++i) {
520 for (int j = i + 1; j < numberOfclusters
521 && j < centersA.size(); ++j) {
522 distA[i][j] = calDist(centersA.get(i), centersA.get(j));
523 if (distA[i][j] > maxA)
524 maxA = distA[i][j];
525
526 }
527 }
528 if (clusterHistoryA == null) {
529 clusterHistoryA = new ClusterHistory();
530 clusterHistoryA.distributionFactor = new ArrayList<Float>();
531 clusterHistoryA.submitTime = new ArrayList<Integer>();
532 clusterHistoryA.prevCenters = new ArrayList<ArrayList<Bid>>();
533 clusterHistoryA.maxDistance = new ArrayList<Float>();
534 }
535
536 clusterHistoryA.distributionFactor.add(
537 clusterHistoryA.distributionFactor.size(),
538 new Float(unormalA));
539 clusterHistoryA.maxDistance.add(clusterHistoryA.maxDistance.size(),
540 new Float(maxA));
541 clusterHistoryA.prevCenters.add(clusterHistoryA.prevCenters.size(),
542 new ArrayList<Bid>(centersA));
543 clusterHistoryA.submitTime.add(clusterHistoryA.submitTime.size(),
544 TimePeriod);
545 clusterHistoryASize = clusterHistoryA.distributionFactor.size() - 1;
546 for (int i = 0; i < clusterA.size(); ++i) {
547
548 clusterA.get(i).getMembers().clear();
549 oppABids.clear();
550
551 }
552
553 }
554 if (clusterIsRefreshB && clusterB != null) {
555 ArrayList<Bid> centersB = new ArrayList<Bid>();
556
557 float[][] distB = new float[numberOfclusters][numberOfclusters];
558
559 float unormalB = 0;
560 float normal = 1.0f / numberOfclusters;
561
562 for (int i = 0; i < clusterB.size(); ++i) {
563 if (clusterB.get(i).getMembers().size() != 0)
564 centersB.add(clusterB.get(i).getCenter());
565 float temp = normal
566 - ((float) clusterB.get(i).getMembers().size())
567 / (float) oppBBids.size();
568 unormalB += temp < 0 ? -1 * temp : temp;
569 }
570
571 float maxB = 0;
572 for (int i = 0; i < numberOfclusters && i < centersB.size(); ++i) {
573 for (int j = i + 1; j < numberOfclusters
574 && j < centersB.size(); ++j) {
575 distB[i][j] = calDist(centersB.get(i), centersB.get(j));
576 if (distB[i][j] > maxB)
577 maxB = distB[i][j];
578 }
579 }
580
581 if (clusterHistoryB == null) {
582 clusterHistoryB = new ClusterHistory();
583 clusterHistoryB.distributionFactor = new ArrayList<Float>();
584 clusterHistoryB.prevCenters = new ArrayList<ArrayList<Bid>>();
585 clusterHistoryB.maxDistance = new ArrayList<Float>();
586 clusterHistoryB.submitTime = new ArrayList<Integer>();
587 }
588 clusterHistoryB.distributionFactor.add(
589 clusterHistoryB.distributionFactor.size(),
590 new Float(unormalB));
591 clusterHistoryB.maxDistance.add(clusterHistoryB.maxDistance.size(),
592 new Float(maxB));
593 clusterHistoryB.prevCenters.add(clusterHistoryB.prevCenters.size(),
594 new ArrayList<Bid>(centersB));
595 clusterHistoryB.submitTime.add(clusterHistoryB.submitTime.size(),
596 TimePeriod);
597 clusterHistoryBSize = clusterHistoryB.distributionFactor.size() - 1;
598 for (int i = 0; i < clusterB.size(); ++i) {
599 clusterB.get(i).getMembers().clear();
600 oppBBids.clear();
601 }
602 }
603 if (clusterIsRefreshA && clusterA != null) {
604 clusterIsRefreshA = false;
605
606 ArrayList<Bid> tempArr = new ArrayList<Bid>();
607 for (int j = 0; j < clusterHistoryA.prevCenters
608 .get(clusterHistoryASize).size(); ++j) {
609 centsA.add(clusterHistoryA.prevCenters.get(clusterHistoryASize)
610 .get(j));
611 tempArr.add(clusterHistoryA.prevCenters.get(clusterHistoryASize)
612 .get(j));
613 }
614
615 clusterOpponentBidWithoutFirstLevel(tempArr, centsA, "A", false);
616 float unormalA = 0;
617
618 float normal = 1.0f / numberOfclusters;
619 for (int i = 0; i < clusterA.size(); ++i) {
620
621 float temp = normal
622 - ((float) clusterA.get(i).getMembers().size())
623 / (float) centsA.size();
624 unormalA += temp < 0 ? -1 * temp : temp;
625 }
626 float maxA = 0;
627 float[][] distA = new float[numberOfclusters][numberOfclusters];
628 for (int i = 0; i < numberOfclusters; ++i) {
629 for (int j = i + 1; j < numberOfclusters; ++j) {
630 distA[i][j] = calDist(clusterA.get(i).getCenter(),
631 clusterA.get(j).getCenter());
632 if (distA[i][j] > maxA)
633 maxA = distA[i][j];
634
635 }
636 }
637 float meanDistributionA = 0f;
638 float maxCenterDistanceA = 0f;
639 int issueSize = utilitySpace.getDomain().getIssues().size();
640 maxCenterDistanceA = maxA / issueSize;
641 meanDistributionA = unormalA
642 / (1.0f + (numberOfclusters - 2) * normal);
643
644 w1 = 0.6f;
645 w3 = 0.4f;
646 float ca = (w1 * maxCenterDistanceA - w3 * meanDistributionA);
647
648 ca = ca < 0 ? 0 : ca;
649 concessionA = concessionA > ca ? concessionA : ca;
650 float temp;
651 if (conceed)
652 temp = (concessionA + concessionB) / 2.0f;
653 else
654 temp = concessionA > concessionB ? concessionB : concessionA;
655 myReservation = 1.0f - temp < myReservation ? 1.0f - temp
656 : myReservation; // for
657 // bilateral
658 myConcessionRate = temp > myConcessionRate ? temp
659 : myConcessionRate;
660 double tempConstant = getMyTargetUtility(myReservation);
661 if (tempConstant < ConstantUtility)
662 ConstantUtility = tempConstant;
663 for (int i = 0; i < clusterA.size(); ++i) {
664 clusterA.get(i).getMembers().clear();
665 }
666
667 }
668 if (clusterIsRefreshB && clusterB != null) {
669 clusterIsRefreshB = false;
670 ArrayList<Bid> tempArr = new ArrayList<Bid>();
671 for (int j = 0; j < clusterHistoryB.prevCenters
672 .get(clusterHistoryBSize).size(); ++j) {
673 centsB.add(clusterHistoryB.prevCenters.get(clusterHistoryBSize)
674 .get(j));
675 tempArr.add(clusterHistoryB.prevCenters.get(clusterHistoryBSize)
676 .get(j));
677 }
678 clusterOpponentBidWithoutFirstLevel(tempArr, centsB, "B", false);
679 float unormalA = 0;
680
681 float normal = 1.0f / numberOfclusters;
682 for (int i = 0; i < clusterB.size(); ++i) {
683
684 float temp = normal
685 - ((float) clusterB.get(i).getMembers().size())
686 / (float) centsB.size();
687 unormalA += temp < 0 ? -1 * temp : temp;
688 }
689 float maxA = 0;
690 float[][] distA = new float[numberOfclusters][numberOfclusters];
691 for (int i = 0; i < numberOfclusters; ++i) {
692 for (int j = i + 1; j < numberOfclusters; ++j) {
693 distA[i][j] = calDist(clusterB.get(i).getCenter(),
694 clusterB.get(j).getCenter());
695 if (distA[i][j] > maxA)
696 maxA = distA[i][j];
697
698 }
699 }
700 float meanDistributionB = 0f;
701 float maxCenterDistanceB = 0f;
702
703 int issueSize = utilitySpace.getDomain().getIssues().size();
704 maxCenterDistanceB = maxA / issueSize;
705 meanDistributionB = unormalA
706 / (1.0f + (numberOfclusters - 2) * normal);
707 w1 = 0.6f;
708 w3 = 0.4f;
709 float cb = (w1 * maxCenterDistanceB - w3 * meanDistributionB);
710 cb = cb < 0 ? 0 : cb;
711 concessionB = concessionB > cb ? concessionB : cb;
712 float temp;
713 if (conceed)
714 temp = (concessionA + concessionB) / 2.0f;
715 else
716 temp = concessionA > concessionB ? concessionB : concessionA;
717 myReservation = 1.0f - temp < myReservation ? 1.0f - temp
718 : myReservation;
719 myConcessionRate = temp > myConcessionRate ? temp
720 : myConcessionRate;
721 double tempConstant = getMyTargetUtility(myReservation);
722 if (tempConstant < ConstantUtility)
723 ConstantUtility = tempConstant;
724 for (int i = 0; i < clusterB.size(); ++i) {
725 clusterB.get(i).getMembers().clear();
726 }
727
728 }
729 return ConstantUtility;
730 }
731
732 @Override
733 public double getE() {
734 return myConcessionRate;
735 }
736
737 public boolean selectEndNegotiation(double time) {
738 return rValue * Math.pow(dFactor, time) >= getMyutility();
739 }
740
741}
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