Towards genetically optimised responsive negotiation agents

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004
Pages295-301
Publication statusPublished - 2004
Externally publishedYes

Conference

TitleProceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004
PlaceChina
CityBeijing
Period20 - 24 September 2004

Abstract

Real-world negotiations are characterised by combinatorially complex negotiation spaces, tough deadlines, bounded agent rationality, very limited information about the opponents, and volatile negotiator preferences. Classical negotiation models fail to address most of these issues. This paper illustrates our practical negotiation agents which are empowered by an effective and efficient genetic algorithm to deal with complex, incomplete, and dynamic negotiation spaces arising in real-world applications. Initial experiment demonstrates that our genetically optimised adaptive negotiation agents outperform a theoretically optimal negotiation model when time pressure exists. Our research work opens the door to the development of responsive and adaptive negotiation agents for real-world applications. © 2004 IEEE.

Research Area(s)

  • Adaptive Agents, Automated Negotiation, Genetic Algorithm

Citation Format(s)

Towards genetically optimised responsive negotiation agents. / Lau, Raymond Y. K.; Tang, Maolin; Wong, On.
Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004. 2004. p. 295-301.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review