Evolutionary negotiation in agent-mediated commerce

Samuel P.M. Choi, Jiming LIU, Sheung Ping Chan

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Automated negotiation has become increasingly important since the advent of electronic commerce. In an efficient market, goods are not necessarily traded in a fixed price, and instead buyers and sellers negotiate among themselves to reach a deal that maximizes the payoffs of both parties. In this paper, a genetic agent-based model for bilateral, multi-issue negotiation is studied. The negotiation agent employs genetic algorithms and attempts to learn its opponent’s preferences according to the history of the counter offers based upon the stochastic approximation. We also consider two types of agents: level- 0 agents are only concerned with their own interest while level-1 agents consider also their opponents’ utility. Our goal is to develop an automated negotiator that guides the negotiation process so as to maximize both parties’ payoff.

Original languageEnglish
Title of host publicationActive Media Technology - 6th International Computer Science Conference, AMT 2001, Proceedings
EditorsJiming Liu, Pong C. Yuen, Chun-hung Li, Joseph Ng, Toru Ishida
PublisherSpringer Verlag
Pages224-234
Number of pages11
ISBN (Electronic)9783540430353
DOIs
Publication statusPublished - 2001
Event6th International Computer Science Conference on Active Media Technology, AMT 2001 - Hong Kong, China
Duration: 18 Dec 200120 Dec 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2252
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Computer Science Conference on Active Media Technology, AMT 2001
Country/TerritoryChina
CityHong Kong
Period18/12/0120/12/01

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

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