source: src/main/java/negotiator/parties/AbstractTimeDependentNegotiationParty.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: 5.1 KB
Line 
1package negotiator.parties;
2
3import static java.lang.Math.pow;
4
5import java.util.List;
6
7import genius.core.AgentID;
8import genius.core.Bid;
9import genius.core.actions.Accept;
10import genius.core.actions.Action;
11import genius.core.actions.NoAction;
12import genius.core.actions.Offer;
13import genius.core.actions.OfferForVoting;
14import genius.core.actions.Reject;
15import genius.core.boaframework.SortedOutcomeSpace;
16import genius.core.parties.AbstractNegotiationParty;
17import genius.core.parties.NegotiationInfo;
18import genius.core.protocol.MultilateralProtocol;
19import genius.core.timeline.DiscreteTimeline;
20
21/**
22 * Boulware/Conceder tactics, by Tim Baarslag, adapted from [1]. Adapted by Mark
23 * Hendrikx to use the SortedOutcomeSpace instead of BidHistory. Adapted by
24 * David Festen for multilateral case.
25 *
26 * [1] S. Shaheen Fatima Michael Wooldridge Nicholas R. Jennings Optimal
27 * Negotiation Strategies for Agents with Incomplete Information
28 * http://eprints.ecs.soton.ac.uk/6151/1/atal01.pdf
29 *
30 * @author Tim Baarslag, Mark Hendrikx
31 */
32public abstract class AbstractTimeDependentNegotiationParty extends AbstractNegotiationParty
33{
34 SortedOutcomeSpace outcomeSpace;
35 Bid lastReceivedBid = null;
36
37 @Override
38 public void init(NegotiationInfo info)
39 {
40 super.init(info);
41 outcomeSpace = new SortedOutcomeSpace(getUtilitySpace());
42 }
43
44 /**
45 * When this class is called, it is expected that the Party chooses one of
46 * the actions from the possible action list and returns an instance of the
47 * chosen action. This class is only called if this
48 * {@link genius.core.parties.NegotiationParty} is in the
49 * {@link MultilateralProtocol#getRoundStructure(java.util.List, negotiator.session.Session)}
50 * .
51 *
52 * @param possibleActions
53 * List of all actions possible.
54 * @return The chosen action
55 */
56 @Override
57 public Action chooseAction(List<Class<? extends Action>> possibleActions) {
58 Bid nextBid = getNextBid();
59 double lastUtil = lastReceivedBid != null ? utilitySpace.getUtilityWithDiscount(lastReceivedBid, timeline) : 0;
60 double nextUtil = nextBid != null ? utilitySpace.getUtilityWithDiscount(nextBid, timeline) : 0;
61
62 // Accept is for both voting and counter offer protocols
63 if (possibleActions.contains(Accept.class) && nextUtil < lastUtil)
64 return new Accept(getPartyId(), lastReceivedBid);
65
66 // Counter offer based actions
67 else if (possibleActions.contains(Offer.class))
68 return new Offer(getPartyId(), nextBid);
69
70 // Voting based actions
71 else if (possibleActions.contains(OfferForVoting.class))
72 return new OfferForVoting(getPartyId(), nextBid);
73 else if (possibleActions.contains(Reject.class))
74 return new Reject(getPartyId(), lastReceivedBid); // Accept is higher up the chain
75 // default action
76 else
77 return new NoAction(getPartyId());
78 }
79
80 /**
81 * Get the next bid we should do
82 */
83 protected Bid getNextBid() {
84 return outcomeSpace.getBidNearUtility(getTargetUtility()).getBid();
85 }
86
87 /**
88 * This method is called when an observable action is performed. Observable
89 * actions are defined in
90 * {@link MultilateralProtocol#getActionListeners(java.util.List)}
91 *
92 * @param sender
93 * The initiator of the action
94 * @param arguments
95 * The action performed
96 */
97 @Override
98 public void receiveMessage(AgentID sender, Action arguments) {
99 if (arguments instanceof Offer)
100 lastReceivedBid = ((Offer) arguments).getBid();
101 }
102
103 /**
104 * Gets the target utility for the next bid
105 *
106 * @return The target utility for the given time
107 */
108 public double getTargetUtility() {
109
110 // timeline runs from 0.0 to 1.0
111
112 // we have a slight offset because discrete timeline is 1-based, this
113 // needs to be addressed
114 double offset = timeline instanceof DiscreteTimeline ? 1d / ((DiscreteTimeline) timeline).getTotalRounds() : 0d;
115 double target = 1d - f(timeline.getTime() - offset);
116// System.out.println("Target util: " + target);
117 return target;
118 }
119
120 /**
121 * From [1]:
122 *
123 * A wide range of time dependent functions can be defined by varying the
124 * way in which f(t) is computed. However, functions must ensure that 0 <=
125 * f(t) <= 1, f(0) = k, and f(1) = 1.
126 *
127 * That is, the offer will always be between the value range, at the
128 * beginning it will give the initial constant and when the deadline is
129 * reached, it will offer the reservation value.
130 *
131 * For e = 0 (special case), it will behave as a Hardliner.
132 */
133 public double f(double t) {
134 if (getE() == 0) {
135 return 0;
136 }
137 return pow(t, 1 / getE());
138 }
139
140 /**
141 * Depending on the value of e, extreme sets show clearly different patterns
142 * of behaviour [1]:
143 *
144 * 1. Boulware: For this strategy e < 1 and the initial offer is maintained
145 * till time is almost exhausted, when the agent concedes up to its
146 * reservation value.
147 *
148 * 2. Conceder: For this strategy e > 1 and the agent goes to its
149 * reservation value very quickly.
150 *
151 * 3. When e = 1, the price is increased linearly.
152 *
153 * 4. When e = 0, the agent plays hardball.
154 */
155 public abstract double getE();
156}
Note: See TracBrowser for help on using the repository browser.