source: src/main/java/agents/anac/y2019/gravity/Gravity.java@ 346

Last change on this file since 346 was 202, checked in by Katsuhide Fujita, 5 years ago

Add ANAC 2019 agents (3)
  • Property svn:executable set to *
File size: 20.5 KB
Line 
1package agents.anac.y2019.gravity;
2
3import java.util.ArrayList;
4import java.util.HashMap;
5import java.util.List;
6import java.util.Map;
7import java.util.Map.Entry;
8
9import javax.swing.event.DocumentListener;
10
11import genius.core.AgentID;
12import genius.core.Bid;
13import genius.core.actions.Accept;
14import genius.core.actions.Action;
15import genius.core.actions.Offer;
16import genius.core.boaframework.SortedOutcomeSpace;
17import genius.core.issue.Issue;
18import genius.core.issue.IssueDiscrete;
19import genius.core.issue.ValueDiscrete;
20import genius.core.parties.AbstractNegotiationParty;
21import genius.core.parties.NegotiationInfo;
22import genius.core.timeline.DiscreteTimeline;
23import genius.core.uncertainty.AdditiveUtilitySpaceFactory;
24import genius.core.utility.AbstractUtilitySpace;
25
26public class Gravity extends AbstractNegotiationParty {
27 private static final double HALF_OF_TIME = 0.5;
28
29 private AbstractUtilitySpace utilitySpace = null;
30 private SortedOutcomeSpace outcomeSpace = null;
31
32 Bid sampleBid;
33 private List<Bid> orderedBidListInAscendingOrder;
34 private List<Issue> listOfIssues;
35 private int numberOfIssues;
36
37 Map<Integer, double[][]> eachIssueAnItsIndexingValuesDoubleArrayMap;
38 Map<Integer, double[]> eachIssueAndItsValuesUtilityMap;
39
40 double[] sumOfSquaredErrorsOfIssueValues;
41 Map<Integer, Double> eachIssueAndItsUtilityMap;
42
43 // opponent modeling
44 Bid lastReceivedBid;
45 Map<Integer, double[]> eachIssueAndItsValuesFrequencyArrayMap;
46 Map<Integer, double[]> opponentEachIssueAndItsValuesUtilityMap;
47 double[] opponentSumOfSquaredErrosOfEachIssueMatrix;
48 Map<Integer, Double> opponentEachIssueAndItsUtilityMap;
49
50 double lastOfferingTime;
51 Bid lastOfferedBid;
52 Bid nextBid;
53
54 @Override
55 public void init(NegotiationInfo info) {
56 super.init(info);
57 initAgentVariables();
58 initOpponentVars();
59 }
60
61 // uncertain preferences
62 private void initAgentVariables() {
63 initUncertainPrefVariables();
64 createCopelandMatrices();
65 fillAgentVars();
66 }
67
68 private void fillAgentVars() {
69 fillCopelandMatrices();
70 setValueUtilities();
71 fillMatriceOfNoChangeOfEachIssue();
72 setIssueUtilitiesWithNormalization();
73 }
74
75 // opponent modeling
76 private void initOpponentVars() {
77 initOpponentModelingVars();
78 createFrequencyArrays();
79 }
80
81 private void initUncertainPrefVariables() {
82 this.utilitySpace = getUtilitySpace();
83 this.outcomeSpace = new SortedOutcomeSpace(utilitySpace);
84
85 this.orderedBidListInAscendingOrder = getUserModel().getBidRanking().getBidOrder();
86 this.sampleBid = orderedBidListInAscendingOrder.get(0);
87 this.listOfIssues = sampleBid.getIssues();
88 this.numberOfIssues = listOfIssues.size();
89
90 this.eachIssueAnItsIndexingValuesDoubleArrayMap = new HashMap<Integer, double[][]>();
91 this.eachIssueAndItsValuesUtilityMap = new HashMap<Integer, double[]>();
92
93 this.sumOfSquaredErrorsOfIssueValues = new double[numberOfIssues];
94 this.eachIssueAndItsUtilityMap = new HashMap<Integer, Double>();
95 }
96
97 private void initOpponentModelingVars() {
98 this.eachIssueAndItsValuesFrequencyArrayMap = new HashMap<Integer, double[]>();
99 this.opponentEachIssueAndItsValuesUtilityMap = new HashMap<Integer, double[]>();
100 this.opponentSumOfSquaredErrosOfEachIssueMatrix = new double[numberOfIssues];
101 this.opponentEachIssueAndItsUtilityMap = new HashMap<Integer, Double>();
102 }
103
104 private void createCopelandMatrices() {
105 for (int i = 0; i < numberOfIssues; i++) {
106 IssueDiscrete issueDiscrete = (IssueDiscrete) sampleBid.getIssues().get(i);
107 int valueSize = issueDiscrete.getValues().size();
108 eachIssueAnItsIndexingValuesDoubleArrayMap.put(i, new double[valueSize][valueSize]);
109 }
110 }
111
112 private void createFrequencyArrays() {
113 for (int i = 0; i < numberOfIssues; i++) {
114 IssueDiscrete issueDiscrete = (IssueDiscrete) sampleBid.getIssues().get(i);
115 int valueSize = issueDiscrete.getValues().size();
116 eachIssueAndItsValuesFrequencyArrayMap.put(i, new double[valueSize]);
117 }
118 }
119
120 /*
121 * Gets the bigger bid from the sorted list . Gets the smaller bids from the
122 * sorted list. Does pairwise Copeland comparison with one bigger bid and
123 * smaller bids. depending on the bigger bid > all smaller bids
124 */
125 private void fillCopelandMatrices() {
126 for (int i = orderedBidListInAscendingOrder.size() - 1; i > 0; i--) {
127 Bid biggerBid = orderedBidListInAscendingOrder.get(i);
128 for (int j = i - 1; j >= 0; j--) {
129 Bid smallerBid = orderedBidListInAscendingOrder.get(j);
130 fillCopelandMatriceWithBiggerAndSmaller(biggerBid, smallerBid, i, j);
131 }
132 System.out.println(biggerBid);
133 }
134 printIntDoubleDoubleArrMap(eachIssueAnItsIndexingValuesDoubleArrayMap);
135 }
136
137 /*
138 * pairwise Copeland comparison in each issue value, update the frequency
139 * matrices for different issue values depending on the similarity.
140 */
141 private void fillCopelandMatriceWithBiggerAndSmaller(Bid biggerBid, Bid smallerBid, int biggerIndex,
142 int smallerIndex) {
143 for (int i = 0; i < numberOfIssues; i++) {
144 ValueDiscrete biggerBidValue = (ValueDiscrete) (biggerBid.getValue(i + 1));
145 int biggerBidValueIndex = getIndexOfValueInIssue(biggerBid, i, biggerBidValue.getValue());
146 ValueDiscrete smallerValue = (ValueDiscrete) (smallerBid.getValue(i + 1));
147 int smallerBidValueIndex = getIndexOfValueInIssue(smallerBid, i, smallerValue.getValue());
148 int numberOfSimilarities = biggerBid.countEqualValues(smallerBid);
149 if (numberOfSimilarities > 0) {
150 eachIssueAnItsIndexingValuesDoubleArrayMap.get(i)[biggerBidValueIndex][smallerBidValueIndex] += (1d
151 / (biggerIndex - smallerIndex)) * numberOfSimilarities;
152 }
153 }
154 }
155
156 private int getIndexOfValueInIssue(Bid bid, int issueIndex, String value) {
157 IssueDiscrete is = (IssueDiscrete) bid.getIssues().get(issueIndex);
158 return is.getValueIndex(value);
159 }
160
161 private void setValueUtilities() {
162 for (int i = 0; i < numberOfIssues; i++) {
163 IssueDiscrete issueDiscrete = (IssueDiscrete) sampleBid.getIssues().get(i);
164 int valueSize = issueDiscrete.getValues().size();
165 double[] valuesBeingBigInfoArray = new double[valueSize];
166 double[][] matrix = eachIssueAnItsIndexingValuesDoubleArrayMap.get(i);
167 for (int j = 0; j < valueSize; j++) {
168 double sumOfRowInMatrix = getSumOfRowInMatrix(matrix, j);
169 double sumOfColInMatrix = getSumOfColInMatrix(matrix, j);
170 double total = sumOfColInMatrix + sumOfRowInMatrix;
171 if (total == 0) {
172 valuesBeingBigInfoArray[j] = 0;
173 } else {
174 double beingBigPercentage = (sumOfRowInMatrix) / total;
175 valuesBeingBigInfoArray[j] = beingBigPercentage;
176 }
177 }
178 normalize(i, valueSize, valuesBeingBigInfoArray);
179 }
180 System.out.println("------------AGENT------------");
181 printIntDoubleArrMap(eachIssueAndItsValuesUtilityMap);
182 }
183
184 private void normalize(int i, int valueSize, double[] valuesBeingBigInfoArray) {
185 double[] utilityArr = new double[valueSize];
186 double totalSum = getSumOfRowInOneDimensionalMatrix(valuesBeingBigInfoArray);
187 for (int j = 0; j < valueSize; j++) {
188 if (totalSum == 0) {
189 utilityArr[j] = 0;
190 } else {
191 utilityArr[j] = valuesBeingBigInfoArray[j] / totalSum;
192 }
193 }
194 eachIssueAndItsValuesUtilityMap.put(i, utilityArr);
195 }
196
197 private void fillMatriceOfNoChangeOfEachIssue() {
198 for (int i = 0; i < numberOfIssues; i++) {
199 double[][] matrix = eachIssueAnItsIndexingValuesDoubleArrayMap.get(i);
200 double sumOfMatrix = 0;
201 for (int j = 0; j < matrix.length; j++) {
202 sumOfMatrix += getSumOfRowInMatrix(matrix, j);
203 }
204 System.out.println("Sum of matrix: " + sumOfMatrix);
205 double average = sumOfMatrix / (matrix.length * matrix.length);
206 System.out.println("average of matrix: " + average);
207 double sumOfSquaredErrors = 0;
208 for (int j = 0; j < matrix.length; j++) {
209 for (int k = 0; k < matrix.length; k++) {
210 sumOfSquaredErrors += Math.pow(matrix[j][k] - average, 2);
211 }
212 }
213 sumOfSquaredErrorsOfIssueValues[i] = Math.sqrt(sumOfSquaredErrors / (matrix.length * matrix.length));
214 }
215 }
216
217 private int getSumOfRowInMatrix(double[][] matrix, int row) {
218 int rowSum = 0;
219 for (int col = 0; col < matrix[row].length; col++) {
220 rowSum += matrix[row][col];
221 }
222 return rowSum;
223 }
224
225 private int getSumOfColInMatrix(double[][] matrix, int col) {
226 int colSum = 0;
227 for (int row = 0; row < matrix.length; row++) {
228 colSum += matrix[row][col];
229 }
230 return colSum;
231 }
232
233 private void setIssueUtilitiesWithNormalization() {
234 double totalOfsumOfSquares = 0;
235 for (int i = 0; i < numberOfIssues; i++) {
236 totalOfsumOfSquares += sumOfSquaredErrorsOfIssueValues[i];
237 }
238 for (int i = 0; i < numberOfIssues; i++) {
239 eachIssueAndItsUtilityMap.put(i, sumOfSquaredErrorsOfIssueValues[i] / totalOfsumOfSquares);
240 }
241
242 System.out.println("----------------------AGENT------------------");
243 printIntDoubleMap(eachIssueAndItsUtilityMap);
244 }
245
246 private void printIntDoubleDoubleArrMap(Map<Integer, double[][]> eachIssueAnItsValuesDoubleArrayMap) {
247 System.out.println("EACH ISSUE AND ITS VALUES");
248 for (Entry<Integer, double[][]> entry : eachIssueAnItsValuesDoubleArrayMap.entrySet()) {
249 System.out.println(entry.getKey() + " ");
250 double[][] values = entry.getValue();
251 for (int j = 0; j < values.length; j++) {
252 for (int k = 0; k < values.length; k++) {
253 System.out.print(values[j][k] + " ");
254 }
255 System.out.println();
256 }
257 System.out.println();
258 }
259 }
260
261 private void printIntDoubleArrMap(Map<Integer, double[]> map) {
262 System.out.println("EACH ISSUE AND ITS VALUES UTILITIES");
263 for (Entry<Integer, double[]> entry : map.entrySet()) {
264 System.out.print(entry.getKey() + " ");
265 double[] values = entry.getValue();
266 for (int j = 0; j < values.length; j++) {
267 System.out.print(values[j] + " ");
268 }
269 System.out.println();
270 }
271 System.out.println();
272 }
273
274 private void printIntDoubleMap(Map<Integer, Double> map) {
275 System.out.println("----------------------EACH ISSUE AND ITS UTILITIES------------------");
276 for (Entry<Integer, Double> entry : map.entrySet()) {
277 System.out.println(entry.getKey() + " " + entry.getValue());
278 }
279 System.out.println();
280 }
281
282 @Override
283 public void receiveMessage(AgentID sender, Action action) {
284 try {
285 super.receiveMessage(sender, action);
286 if (action instanceof Offer) {
287 lastReceivedBid = ((Offer) action).getBid();
288 updateFrequencyArrays();
289 updateIssueValueUtilities();
290 fillOpponentMatriceOfSumOfSquaresOfEachIssue();
291 updateIsseUtilities();
292 }
293 } catch (Exception e) {
294 e.printStackTrace();
295 }
296 }
297
298 private void updateFrequencyArrays() {
299 for (int i = 0; i < numberOfIssues; i++) {
300 ValueDiscrete valueDiscrete = (ValueDiscrete) (lastReceivedBid.getValue(i + 1));
301 int valueIndex = getIndexOfValueInIssue(lastReceivedBid, i, valueDiscrete.getValue());
302 eachIssueAndItsValuesFrequencyArrayMap.get(i)[valueIndex] += 1;
303 }
304 }
305
306 private void updateIssueValueUtilities() {
307 for (int i = 0; i < numberOfIssues; i++) {
308 double[] frequencyArr = eachIssueAndItsValuesFrequencyArrayMap.get(i);
309 double[] utilityArr = new double[frequencyArr.length];
310 for (int j = 0; j < frequencyArr.length; j++) {
311 double freqSumOfEachIssue = getSumOfRowInOneDimensionalMatrix(frequencyArr);
312 utilityArr[j] = ((double) frequencyArr[j] / freqSumOfEachIssue);
313 }
314 opponentEachIssueAndItsValuesUtilityMap.put(i, utilityArr);
315 }
316 System.out.println("------------OPPONENT ISSUE VALUE UTULITIES------------");
317 printIntDoubleArrMap(opponentEachIssueAndItsValuesUtilityMap);
318 }
319
320 private void fillOpponentMatriceOfSumOfSquaresOfEachIssue() {
321 for (int i = 0; i < numberOfIssues; i++) {
322 double[] frequencyArr = eachIssueAndItsValuesFrequencyArrayMap.get(i);
323 double averageOfMatrix = getAverageOfOneDimensionalMatrix(frequencyArr);
324 double sumOfSquaresForMatrix = getSumOfSquaredErrorsForMatrix(frequencyArr, averageOfMatrix);
325 opponentSumOfSquaredErrosOfEachIssueMatrix[i] = sumOfSquaresForMatrix / frequencyArr.length;
326 }
327 }
328
329 private double getAverageOfOneDimensionalMatrix(double[] matrix) {
330 return getSumOfRowInOneDimensionalMatrix(matrix) / (matrix.length);
331 }
332
333 private double getSumOfRowInOneDimensionalMatrix(double[] matrix) {
334 double rowSum = 0;
335 for (int i = 0; i < matrix.length; i++) {
336 rowSum += matrix[i];
337 }
338 return rowSum;
339 }
340
341 private double getSumOfSquaredErrorsForMatrix(double[] frequencyArr, double averageOfMatrix) {
342 double totalOfsumOfSquares = 0;
343 for (int j = 0; j < frequencyArr.length; j++) {
344 totalOfsumOfSquares += Math.pow((frequencyArr[j] - averageOfMatrix), 2);
345 }
346 return Math.sqrt(totalOfsumOfSquares);
347 }
348
349 private void updateIsseUtilities() {
350 double totalOfsumOfSquares = 0;
351 for (int i = 0; i < numberOfIssues; i++) {
352 totalOfsumOfSquares += opponentSumOfSquaredErrosOfEachIssueMatrix[i];
353 }
354 for (int i = 0; i < numberOfIssues; i++) {
355 opponentEachIssueAndItsUtilityMap.put(i,
356 opponentSumOfSquaredErrosOfEachIssueMatrix[i] / totalOfsumOfSquares);
357 }
358 System.out.println("---------OPPONENT ISSUE UTILITIES-----------");
359 printIntDoubleMap(opponentEachIssueAndItsUtilityMap);
360 }
361
362 @Override
363 public Action chooseAction(List<Class<? extends Action>> validActions) {
364 try {
365 double agentUtility = getUtilityForBid(eachIssueAndItsValuesUtilityMap, eachIssueAndItsUtilityMap,
366 lastReceivedBid);
367 double agentUtilityThatAgentOkayLastTime = getUtilityForBid(eachIssueAndItsValuesUtilityMap,
368 eachIssueAndItsUtilityMap, lastOfferedBid);
369 double oppoentUtility = getUtilityForBid(opponentEachIssueAndItsValuesUtilityMap,
370 opponentEachIssueAndItsUtilityMap, lastReceivedBid);
371 double oppoentUtilityThatItsNotOkay = getUtilityForBid(opponentEachIssueAndItsValuesUtilityMap,
372 opponentEachIssueAndItsUtilityMap, lastOfferedBid);
373
374 List<Bid> nextOnes = getOfferingBidsWithMostImportantIssueIsFixed();
375 nextBid = getBestBidInsidePossibleBids(nextOnes);
376 double agentNextUtility = getUtilityForBid(eachIssueAndItsValuesUtilityMap, eachIssueAndItsUtilityMap,
377 nextBid);
378
379 double offset = timeline instanceof DiscreteTimeline ? 1d / ((DiscreteTimeline) timeline).getTotalRounds()
380 : 0d;
381 double time = timeline.getTime() - offset;
382 if (time > HALF_OF_TIME) {
383 System.out.println(time);
384 }
385
386 // yeni gönderdiği bi sonraki göndereceğimden daha iyiyse // agentNextUtility <=
387 // agentUtility
388 // en son gonderdiğinden benim için daha iyi bir teklifle gelmişse //
389 // agentUtilityThatAgentOkayLastTime <= agentUtility
390 // en son gönderdiğinden kendisi için daha kötü bir teklifle gelmişse //
391 // oppoentUtility <= oppoentUtilityThatItsNotOkay
392 if (agentNextUtility <= agentUtility && agentUtilityThatAgentOkayLastTime <= agentUtility
393 && oppoentUtility <= oppoentUtilityThatItsNotOkay
394 && utilitySpace.getReservationValue() < agentUtility) {
395 return new Accept(getPartyId(), lastReceivedBid);
396 }
397 return createOffer(validActions, time);
398 } catch (Exception e) {
399 lastOfferedBid = generateBestBid();
400 return new Offer(getPartyId(), lastOfferedBid);
401 }
402 }
403
404 private Action createOffer(List<Class<? extends Action>> validActions, double time) {
405 if (lastReceivedBid == null || !validActions.contains(Accept.class)) {
406 lastOfferedBid = generateBestBid();
407 return new Offer(getPartyId(), lastOfferedBid);
408 } else {
409 if (time < HALF_OF_TIME) {
410 lastOfferedBid = generateBestBid();
411 return new Offer(getPartyId(), lastOfferedBid);
412 } else {
413 String currentTimeStr = String.valueOf(time);
414 String lastOfferingTimeStr = String.valueOf(lastOfferingTime);
415 String afterDotCurrentStr = currentTimeStr.substring(2, currentTimeStr.length());
416 String afterDotLastOfferingStr = lastOfferingTimeStr.substring(2, lastOfferingTimeStr.length());
417 // in 0.6, 0.7, 0.8, 0.9, send best bit to confuse opponent
418 if(afterDotCurrentStr.charAt(0) != afterDotLastOfferingStr.charAt(0)) {
419 lastOfferedBid = generateBestBid();
420 lastOfferingTime = time;
421 return new Offer(getPartyId(), lastOfferedBid);
422 } else {
423 List<Bid> offeringBidsWithMostImportantIssueIsFixed = getOfferingBidsWithMostImportantIssueIsFixed();
424 lastOfferedBid = getBestBidInsidePossibleBids(offeringBidsWithMostImportantIssueIsFixed);
425 lastOfferingTime = time;
426 return new Offer(getPartyId(), lastOfferedBid);
427 }
428 }
429 }
430 }
431
432 private List<Bid> getOfferingBidsWithMostImportantIssueIsFixed() {
433 List<Bid> possibleOfferingBids = new ArrayList<Bid>();
434 List<Bid> allBidsWithoutUtilities = outcomeSpace.getAllBidsWithoutUtilities();
435 for (Bid bid : allBidsWithoutUtilities) {
436 int mostImportantIssueForOpponent = getMostImportantIssueIndexForOpponent();
437 for (int i = 0; i < numberOfIssues; i++) {
438 // if most important issue is the one we are looking for
439 if (mostImportantIssueForOpponent == i) {
440 // if issue values are the same in any bid and last received
441 // then add this any bid to possible bid.
442 ValueDiscrete anyBidValue = (ValueDiscrete) (bid.getValue(i + 1));
443
444 int anyBidValueIndex = getIndexOfValueInIssue(bid, i, anyBidValue.getValue());
445
446 ValueDiscrete lastReceivedValue = (ValueDiscrete) (lastReceivedBid.getValue(i + 1));
447 int lastReceivedValueIndex = getIndexOfValueInIssue(lastReceivedBid, i,
448 lastReceivedValue.getValue());
449
450 if (anyBidValueIndex == lastReceivedValueIndex) {
451 if (bid.countEqualValues(lastReceivedBid) == 1) {
452 possibleOfferingBids.add(bid);
453 }
454 }
455 }
456 }
457 }
458 return possibleOfferingBids;
459 }
460
461 // returns 0, 1, 2....
462 private int getMostImportantIssueIndexForOpponent() {
463 int biggestIssueNumberForOpponent = 0;
464 double biggestIssueUtility = 0;
465 for (Entry<Integer, Double> entry : opponentEachIssueAndItsUtilityMap.entrySet()) {
466 if (biggestIssueUtility < entry.getValue()) {
467 biggestIssueUtility = entry.getValue();
468 biggestIssueNumberForOpponent = entry.getKey();
469 }
470 }
471 List<Integer> mostImportantIssueIndexes = new ArrayList<Integer>();
472 for (Entry<Integer, Double> entry : opponentEachIssueAndItsUtilityMap.entrySet()) {
473 if (entry.getValue() == biggestIssueUtility) {
474 mostImportantIssueIndexes.add(entry.getKey());
475 }
476 }
477
478 if (mostImportantIssueIndexes.size() == 1) {
479 return biggestIssueNumberForOpponent;
480 } else {
481 return getMostImportantIssueIndexForAgent(mostImportantIssueIndexes);
482 }
483 }
484
485 private int getMostImportantIssueIndexForAgent(List<Integer> mostImportantIssueIndexes) {
486 int biggestIssueNumberForAgent = 0;
487 double biggestIssueUtilityForAgent = 0;
488 for (Entry<Integer, Double> entry : eachIssueAndItsUtilityMap.entrySet()) {
489 for (Integer mostImportantIssueIndexForOpponent : mostImportantIssueIndexes) {
490 if (mostImportantIssueIndexForOpponent == entry.getKey()) {
491 if (biggestIssueUtilityForAgent < entry.getValue()) {
492 biggestIssueUtilityForAgent = entry.getValue();
493 biggestIssueNumberForAgent = entry.getKey();
494 }
495 }
496 }
497 }
498 return biggestIssueNumberForAgent;
499 }
500
501 private Bid getBestBidInsidePossibleBids(List<Bid> possibleBids) {
502 Bid bestBid = null;
503 double bestUtility = 0;
504 for (Bid bid : possibleBids) {
505 double agentUtility = getUtilityForBid(eachIssueAndItsValuesUtilityMap, eachIssueAndItsUtilityMap, bid);
506 if (bestUtility <= agentUtility) {
507 bestBid = bid;
508 bestUtility = agentUtility;
509 }
510 }
511 return bestBid;
512 }
513
514 private Bid generateBestBid() {
515 List<Bid> possibleBids = outcomeSpace.getAllBidsWithoutUtilities();
516 Bid bestBid = null;
517 double bestUtility = 0;
518 for (Bid bid : possibleBids) {
519 double agentUtility = getUtilityForBid(eachIssueAndItsValuesUtilityMap, eachIssueAndItsUtilityMap, bid);
520 if (bestUtility <= agentUtility) {
521 bestBid = bid;
522 bestUtility = agentUtility;
523 }
524 }
525 return bestBid;
526 }
527
528 private double getUtilityForBid(Map<Integer, double[]> valueUtilityMap, Map<Integer, Double> issueUtilityMap,
529 Bid bid) {
530 double totalUtility = 0;
531 if (bid != null) {
532 for (int i = 0; i < numberOfIssues; i++) {
533 Double utilityOfIssue = issueUtilityMap.get(i);
534 ValueDiscrete biggerBidValue = (ValueDiscrete) (bid.getValue(i + 1));
535 int indexOfValue = getIndexOfValueInIssue(bid, i, biggerBidValue.getValue());
536 double[] valueUtilities = valueUtilityMap.get(i);
537 double utilityOfValue = valueUtilities[indexOfValue];
538
539 totalUtility += utilityOfIssue * utilityOfValue;
540 }
541 return totalUtility;
542 }
543 return totalUtility;
544 }
545
546 @Override
547 public AbstractUtilitySpace estimateUtilitySpace() {
548 return new AdditiveUtilitySpaceFactory(getDomain()).getUtilitySpace();
549 }
550
551 @Override
552 public String getDescription() {
553 return "ANAC 2019";
554 }
555
556}
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