Agent-based decision making in the electronic marketplace: Interactive negotiation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Negotiation is a process of reaching an agreement on the transaction terms (e.g., price, quantity) for two or more parties. Negotiation tries to maximize the benefits for all parties concerned. Instead of human-based negotiation, the e-commerce environment provides such an environment as adopting automated negotiation. Under these circumstances, choosing agent technology is appropriate for an automatic electronic negotiation platform, since autonomous software agents try to perform the best deal on behalf of the human participants. Negotiation agents need a clear-cut definition of negotiation models or strategies. In reality, most bargaining systems embody almost one negotiation model. In this article, a multi-agent negotiation system with selectable negotiation strategies is introduced. It allows agents to select a user's favorite negotiation strategy, which can be preinstalled as a component in the system. A prototype system is implemented in compliance with FIPA specifications.

Original languageEnglish
Title of host publicationAgent and Multi-Agent Systems
Subtitle of host publicationTechnologies and Applications - 4th KES International Symposium, KES-AMSTA 2010, Proceedings
Pages1-10
Number of pages10
EditionPART 2
DOIs
StatePublished - 2010
Event4th KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2010 - Gdynia, Poland
Duration: 23 Jun 201025 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6071 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2010
Country/TerritoryPoland
CityGdynia
Period23/06/1025/06/10

Keywords

  • mobile agent
  • Multi agent
  • negotiation agent
  • negotiation strategy

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