Evolutionary negotiation in agent-mediated commerce

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

doi:10.1007/3-540-45336-9_27

Evolutionary negotiation in agent-mediated commerce

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

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-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 language	English
Title of host publication	Active Media Technology - 6th International Computer Science Conference, AMT 2001, Proceedings
Editors	Jiming Liu, Pong C. Yuen, Chun-hung Li, Joseph Ng, Toru Ishida
Publisher	Springer Verlag
Pages	224-234
Number of pages	11
ISBN (Electronic)	9783540430353
DOIs	https://doi.org/10.1007/3-540-45336-9_27
Publication status	Published - 2001
Event	6th International Computer Science Conference on Active Media Technology, AMT 2001 - Hong Kong, China Duration: 18 Dec 2001 → 20 Dec 2001 https://link.springer.com/book/10.1007/3-540-45336-9

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2252
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Computer Science Conference on Active Media Technology, AMT 2001
Country/Territory	China
City	Hong Kong
Period	18/12/01 → 20/12/01
Internet address	https://link.springer.com/book/10.1007/3-540-45336-9

Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-45336-9_27

Cite this

Choi, S. P. M., LIU, J., & Chan, S. P. (2001). Evolutionary negotiation in agent-mediated commerce. In J. Liu, P. C. Yuen, C. Li, J. Ng, & T. Ishida (Eds.), Active Media Technology - 6th International Computer Science Conference, AMT 2001, Proceedings (pp. 224-234). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2252). Springer Verlag. https://doi.org/10.1007/3-540-45336-9_27

Choi, Samuel P.M. ; LIU, Jiming ; Chan, Sheung Ping. / Evolutionary negotiation in agent-mediated commerce. Active Media Technology - 6th International Computer Science Conference, AMT 2001, Proceedings. editor / Jiming Liu ; Pong C. Yuen ; Chun-hung Li ; Joseph Ng ; Toru Ishida. Springer Verlag, 2001. pp. 224-234 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Evolutionary negotiation in agent-mediated commerce",

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{\textquoteright}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{\textquoteright} utility. Our goal is to develop an automated negotiator that guides the negotiation process so as to maximize both parties{\textquoteright} payoff.",

author = "Choi, {Samuel P.M.} and Jiming LIU and Chan, {Sheung Ping}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 6th International Computer Science Conference on Active Media Technology, AMT 2001 ; Conference date: 18-12-2001 Through 20-12-2001",

year = "2001",

doi = "10.1007/3-540-45336-9_27",

language = "English",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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Choi, SPM, LIU, J & Chan, SP 2001, Evolutionary negotiation in agent-mediated commerce. in J Liu, PC Yuen, C Li, J Ng & T Ishida (eds), Active Media Technology - 6th International Computer Science Conference, AMT 2001, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2252, Springer Verlag, pp. 224-234, 6th International Computer Science Conference on Active Media Technology, AMT 2001, Hong Kong, China, 18/12/01. https://doi.org/10.1007/3-540-45336-9_27

Evolutionary negotiation in agent-mediated commerce. / Choi, Samuel P.M.; LIU, Jiming; Chan, Sheung Ping.
Active Media Technology - 6th International Computer Science Conference, AMT 2001, Proceedings. ed. / Jiming Liu; Pong C. Yuen; Chun-hung Li; Joseph Ng; Toru Ishida. Springer Verlag, 2001. p. 224-234 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2252).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AB - 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.

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Choi SPM, LIU J, Chan SP. Evolutionary negotiation in agent-mediated commerce. In Liu J, Yuen PC, Li C, Ng J, Ishida T, editors, Active Media Technology - 6th International Computer Science Conference, AMT 2001, Proceedings. Springer Verlag. 2001. p. 224-234. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45336-9_27

Evolutionary negotiation in agent-mediated commerce

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