Adaptive negotiation agents for e-business
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
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Detail(s)
Original language | English |
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Title of host publication | ACM International Conference Proceeding Series |
Pages | 271-278 |
Volume | 113 |
Publication status | Published - 2005 |
Publication series
Name | |
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Volume | 113 |
Conference
Title | 7th International Conference on Electronic Commerce, ICEC05 |
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Place | China |
City | Xi'an |
Period | 15 - 17 August 2005 |
Link(s)
Abstract
Negotiation has been identified as one of the key steps in Business-to-Business (B2B) transaction models. However, developing effective and efficient negotiation mechanisms for e-Business is quite challenging since negotiations in such a context are characterized by combinatorial complex negotiation spaces, tough deadlines, incomplete information about the opponents, and volatile negotiator preferences. Classical negotiation models are not able to offer a satisfactory solution to address all these issues. This paper illustrates our adaptive negotiation agents which are underpinned by a robust evolutionary learning mechanism to deal with complex and dynamic negotiation situations often encountered in e-Business applications. Our experimental results show that the proposed evolutionary negotiation agents outperform a theoretically optimal negotiation mechanism which guarantees Pareto optimal. Our research work opens the door to the development of practical negotiation systems for e-Business. Copyright 2005 ACM.
Research Area(s)
- automated negotiation, e-business, evolutionary learning, intelligent agents
Citation Format(s)
Adaptive negotiation agents for e-business. / Lau, Raymond Y.K.
ACM International Conference Proceeding Series. Vol. 113 2005. p. 271-278.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review