source: src/main/java/agents/anac/y2019/harddealer/HardDealer_BS.java@ 345

Last change on this file since 345 was 204, checked in by Katsuhide Fujita, 5 years ago

Fixed errors of ANAC2019 agents

  • Property svn:executable set to *
File size: 4.8 KB
Line 
1package agents.anac.y2019.harddealer;
2
3import java.util.HashSet;
4import java.util.Map;
5import java.util.Set;
6
7import genius.core.bidding.BidDetails;
8import genius.core.boaframework.BOAparameter;
9import genius.core.boaframework.NegotiationSession;
10import genius.core.boaframework.NoModel;
11import genius.core.boaframework.OMStrategy;
12import genius.core.boaframework.OfferingStrategy;
13import genius.core.boaframework.OpponentModel;
14import genius.core.boaframework.SortedOutcomeSpace;
15
16/**
17 * We have used the TimedependentAgent class to implement our bidding strategy.
18 * Below are the original creators, the code is edited by Sven Hendrikx.
19 */
20/**
21 * This is an abstract class used to implement a TimeDependentAgent Strategy
22 * adapted from [1] [1] S. Shaheen Fatima Michael Wooldridge Nicholas R.
23 * Jennings Optimal Negotiation Strategies for Agents with Incomplete
24 * Information http://eprints.ecs.soton.ac.uk/6151/1/atal01.pdf
25 *
26 * The default strategy was extended to enable the usage of opponent models.
27 */
28public class HardDealer_BS extends OfferingStrategy {
29
30 /**
31 * k in [0, 1]. For k = 0 the agent starts with a bid of maximum utility
32 */
33 private double reservationValue;
34 private double k;
35 /** Maximum target utility */
36 private double Pmax;
37 /** Minimum target utility */
38 private double Pmin;
39 /** Concession factor */
40 private double e;
41 /** Outcome space */
42 private SortedOutcomeSpace outcomespace;
43 /**
44 * Method which initializes the agent by setting all parameters. The
45 * parameter "e" is the only parameter which is required.
46 */
47 @Override
48 public void init(NegotiationSession negoSession, OpponentModel model, OMStrategy oms,
49 Map<String, Double> parameters) throws Exception {
50 super.init(negoSession, parameters);
51 if (parameters.get("e") != null) {
52 this.negotiationSession = negoSession;
53
54 outcomespace = new SortedOutcomeSpace(negotiationSession.getUtilitySpace());
55
56 negotiationSession.setOutcomeSpace(outcomespace);
57
58 // We initialize "e" as a function of the negotiation length since different lengths require different concession rates.
59 // This will be overwritten if the the timeline is of type Time
60 // for more info see report section on bidding strategy
61 this.e = (1.8) / negotiationSession.getTimeline().getTotalTime();
62 this.reservationValue = negotiationSession.getUtilitySpace().getReservationValue();
63
64 if (parameters.get("k") != null)
65 this.k = parameters.get("k");
66 else
67 this.k = 0;
68
69 if (parameters.get("min") != null)
70 this.Pmin = parameters.get("min");
71 else
72 this.Pmin = negoSession.getMinBidinDomain().getMyUndiscountedUtil();
73
74 if (parameters.get("max") != null) {
75 Pmax = parameters.get("max");
76 } else {
77 BidDetails maxBid = negoSession.getMaxBidinDomain();
78 Pmax = maxBid.getMyUndiscountedUtil();
79 }
80
81 this.opponentModel = model;
82
83 this.omStrategy = oms;
84 } else {
85 throw new Exception("Constant \"e\" for the concession speed was not set.");
86 }
87 }
88
89 @Override
90 public BidDetails determineOpeningBid() {
91 return determineNextBid();
92 }
93
94 /**
95 * Simple offering strategy which retrieves the target utility and looks for
96 * the nearest bid if no opponent model is specified. If an opponent model
97 * is specified, then the agent return a bid according to the opponent model
98 * strategy.
99 */
100 @Override
101 public BidDetails determineNextBid() {
102 double time = negotiationSession.getTime();
103 double TargetValue;
104
105 if (p(time) < reservationValue)
106 TargetValue = reservationValue;
107 else
108 TargetValue = p(time);
109
110 // In case there is no model, just be time dependent
111 if (opponentModel instanceof NoModel) {
112 nextBid = negotiationSession.getOutcomeSpace().getBidNearUtility(TargetValue);
113 } else {
114 nextBid = omStrategy.getBid(outcomespace, TargetValue);
115 }
116
117 return nextBid;
118 }
119
120 public double f(double t) {
121 // First 10% of session: Slowly come up from bids with util .9 to allow the opponent to model us.
122 if (t < .1)
123 {
124 return 20*(t-0.1)*(t-0.1);
125 }
126 else
127 {
128 if (e == 0)
129 return k;
130
131 double ft = k + (1 - k) * Math.pow(t, 1.0 / e);
132 return ft;
133 }
134
135 }
136
137 public double p(double t) {
138 return Pmin + (Pmax - Pmin) * (1 - f(t));
139
140 }
141
142 public NegotiationSession getNegotiationSession() {
143 return negotiationSession;
144 }
145
146 @Override
147 public Set<BOAparameter> getParameterSpec() {
148 Set<BOAparameter> set = new HashSet<BOAparameter>();
149 set.add(new BOAparameter("e", this.e, "Concession rate"));
150 set.add(new BOAparameter("k", this.k, "Offset"));
151 set.add(new BOAparameter("min", this.Pmin, "Minimum utility"));
152 set.add(new BOAparameter("max", this.Pmax, "Maximum utility"));
153
154 return set;
155 }
156
157 @Override
158 public String getName() {
159 return "HardDealer_BS";
160 }
161}
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