source: src/main/java/agents/SimpleANAC2013Agent.java@ 1

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

Initial import : Genius 9.0.0

File size: 3.4 KB
Line 
1package agents;
2
3import java.io.Serializable;
4
5import genius.core.Agent;
6import genius.core.Bid;
7import genius.core.NegotiationResult;
8import genius.core.actions.Accept;
9import genius.core.actions.Action;
10import genius.core.actions.DefaultAction;
11import genius.core.actions.Offer;
12
13/**
14 * This agent is an example of how to createFrom an ANAC2013 agent which learns
15 * during the tournament. This agent is a variant of the random agent.
16 *
17 * @author M. Hendrikx
18 */
19public class SimpleANAC2013Agent extends Agent {
20
21 /** The minimum utility a bid should have to be accepted or offered. */
22 private double MINIMUM_BID_UTILITY;
23 /** The opponent's last action. */
24 private Bid opponentLastBid;
25 /** Bid with the highest possible utility. */
26 private Bid maxBid;
27
28 public SimpleANAC2013Agent() {
29 }
30
31 /**
32 * Initialize the target utility to MAX(rv, max). Where rv is the
33 * reservation value of the preference profile and max is the highest
34 * utility received on the current preference profile.
35 */
36 public void init() {
37 Serializable prev = this.loadSessionData();
38 if (prev != null) {
39 double previousOutcome = (Double) prev;
40 MINIMUM_BID_UTILITY = Math.max(Math.max(
41 utilitySpace.getReservationValueUndiscounted(),
42 previousOutcome), 0.5);
43 } else {
44 MINIMUM_BID_UTILITY = utilitySpace
45 .getReservationValueUndiscounted();
46 }
47 System.out.println("Minimum bid utility: " + MINIMUM_BID_UTILITY);
48 }
49
50 @Override
51 public String getVersion() {
52 return "1.0";
53 }
54
55 @Override
56 public String getName() {
57 return "Simple ANAC2013 Agent";
58 }
59
60 /**
61 * Set the target utility for the next match on the same preference profile.
62 * If the received utility is higher than the current target, save the
63 * received utility as the new target utility.
64 */
65 public void endSession(NegotiationResult result) {
66 if (result.getMyDiscountedUtility() > MINIMUM_BID_UTILITY) {
67 saveSessionData(new Double(result.getMyDiscountedUtility()));
68 }
69 System.out.println(result);
70 }
71
72 /**
73 * Retrieve the bid from the opponent's last action.
74 */
75 public void ReceiveMessage(Action opponentAction) {
76 opponentLastBid = DefaultAction.getBidFromAction(opponentAction);
77 }
78
79 /**
80 * Accept if the utility of the opponent's is higher than the target
81 * utility; else return a random bid with a utility at least equal to the
82 * target utility.
83 */
84 public Action chooseAction() {
85 if (opponentLastBid != null
86 && getUtility(opponentLastBid) >= MINIMUM_BID_UTILITY) {
87 return new Accept(getAgentID(), opponentLastBid);
88 }
89 return getRandomBid(MINIMUM_BID_UTILITY);
90 }
91
92 /**
93 * Return a bid with a utility at least equal to the target utility, or the
94 * bid with the highest utility possible if it takes too long to find.
95 *
96 * @param target
97 * @return found bid.
98 */
99 private Action getRandomBid(double target) {
100 Bid bid = null;
101 try {
102 int loops = 0;
103 do {
104 bid = utilitySpace.getDomain().getRandomBid(null);
105 loops++;
106 } while (loops < 100000 && utilitySpace.getUtility(bid) < target);
107 if (bid == null) {
108 if (maxBid == null) {
109 // this is a computationally expensive operation, therefore
110 // cache result
111 maxBid = utilitySpace.getMaxUtilityBid();
112 }
113 bid = maxBid;
114 }
115 } catch (Exception e) {
116 e.printStackTrace();
117 }
118 return new Offer(getAgentID(), bid);
119 }
120}
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