source: src/main/java/agents/anac/y2018/fullagent/OMStrategy_lgsmi.java@ 343

Last change on this file since 343 was 343, checked in by Tim Baarslag, 4 years ago

Fixed all errors in all 2018 agents

File size: 3.6 KB
Line 
1
2package agents.anac.y2018.fullagent;
3
4import java.util.List;
5
6import java.util.HashMap;
7import java.util.HashSet;
8import java.util.Map;
9import java.util.Random;
10import java.util.Set;
11
12import genius.core.bidding.BidDetails;
13import genius.core.boaframework.BOAparameter;
14import genius.core.boaframework.NegotiationSession;
15import genius.core.boaframework.OMStrategy;
16import genius.core.boaframework.OpponentModel;
17
18/**
19 * This class uses an opponent model to determine the next bid for the opponent,
20 * while taking the opponent's preferences into account. The opponent model is
21 * used to select the best bid.
22 *
23 */
24
25public class OMStrategy_lgsmi extends OMStrategy {
26
27
28 /**
29 * when to stop updating the opponentmodel. Note that this value is not
30 * exactly one as a match sometimes lasts slightly longer.
31 */
32
33
34 private double updateThreshold = 1.1;
35
36
37 /**
38 * Initializes the opponent model strategy. If a value for the parameter t
39 * is given, then it is set to this value. Otherwise, the default value is
40 * used.
41 *
42 * @param negotiationSession
43 * state of the negotiation.
44 * @param model
45 * opponent model used in conjunction with this opponent modeling
46 * strategy.
47 * @param parameters
48 * set of parameters for this opponent model strategy.
49 */
50 @Override
51 public void init(NegotiationSession negotiationSession, OpponentModel model, Map<String, Double> parameters) {
52 super.init(negotiationSession, model, parameters);
53 if (parameters.get("t") != null) {
54
55 updateThreshold = parameters.get("t");
56
57 } else {
58 System.out.println("OMStrategy assumed t = 1.1");
59 }
60 }
61
62 /**
63 * Returns the best bid for the opponent given a set of similarly preferred
64 * bids.
65 *
66 * @param allBids
67 * of the bids considered for offering.
68 * @return bid to be offered to opponent.
69 */
70 @Override
71 public BidDetails getBid(List<BidDetails> allBids) {
72
73 // 1. If there is only a single bid, return this bid
74 if (allBids.size() == 1) {
75 return allBids.get(0);
76 }
77 double bestUtil = -1;
78 BidDetails bestBid = allBids.get(0);
79
80 // 2. Check that not all bids are assigned at utility of 0
81 // to ensure that the opponent model works. If the opponent model
82 // does not work, offer a random bid.
83 boolean allWereZero = true;
84 // 3. Determine the best bid
85 for (BidDetails bid : allBids) {
86 double evaluation = model.getBidEvaluation(bid.getBid());
87 if (evaluation > 0.0001) {
88 allWereZero = false;
89 }
90 if (evaluation > bestUtil) {
91 bestBid = bid;
92 bestUtil = evaluation;
93 }
94 }
95 // 4. The opponent model did not work, therefore, offer a random bid.
96 if (allWereZero) {
97 Random r = new Random();
98 return allBids.get(r.nextInt(allBids.size()));
99 }
100 return bestBid;
101 }
102
103 /**
104 * The opponent model may be updated, unless the time is higher than a given
105 * constant.
106 *
107 * @return true if model may be updated.
108 */
109 @Override
110 public boolean canUpdateOM() {
111 return negotiationSession.getTime() < updateThreshold;
112 }
113
114 @Override
115 public Set<BOAparameter> getParameterSpec() {
116 Set<BOAparameter> set = new HashSet<BOAparameter>();
117 set.add(new BOAparameter("t", 1.1, "Time after which the OM should not be updated"));
118 return set;
119 }
120
121
122 public Map<String, Double> getParameters() {
123 Map<String, Double> map = new HashMap<String, Double>();
124 //Time after which the OM should not be updated
125 map.put("t", 1.1);
126 return map;
127 }
128
129 @Override
130 public String getName() {
131 return "OMStrategy_lgsmi";
132
133 }
134}
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