KEMNAD:a knowledge engineering methodology for negotiating agent development


Automated negotiation is widely applied in various domains. However, the development of such systems is a complex knowledge and software engineering task. So, a methodology there will be helpful. Unfortunately, none of existing methodologies can offer sufficient, detailed support for such system development. To remove this limitation, this paper develops a new methodology made up of: (1) a generic framework (architectural pattern) for the main task, and (2) a library of modular and reusable design pattern (templates) of subtasks. Thus, it is much easier to build a negotiating agent by assembling these standardised components rather than reinventing the wheel each time. Moreover, since these patterns are identified from a wide variety of existing negotiating agents (especially high impact ones), they can also improve the quality of the final systems developed. In addition, our methodology reveals what types of domain knowledge need to be input into the negotiating agents. This in turn provides a basis for developing techniques to acquire the domain knowledge from human users. This is important because negotiation agents act faithfully on the behalf of their human users and thus the relevant domain knowledge must be acquired from the human users. Finally, our methodology is validated with one high impact system.

Publication DOI:
Divisions: ?? 50811700Jl ??
Additional Information: This is the pre-peer reviewed version of the following article: Luo, X., Miao, C., Jennings, N. , He, M., Shen, Z., & Zhang, M. (2012). KEMNAD: a knowledge engineering methodology for negotiating agent development. Computational intelligence, 28(1), 51-105, which has been published in final form at
Uncontrolled Keywords: automated negotiation,agents,e-business,software engineering,knowledge engineering,Artificial Intelligence,Computational Mathematics
Publication ISSN: 1467-8640
Last Modified: 05 Jul 2024 07:03
Date Deposited: 04 Jan 2013 08:06
Full Text Link: http://onlineli ... 0409.x/abstract
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2012-02
Authors: Luo, Xudong
Miao, Chunyan
Jennings, Nick
He, Minghua
Shen, Zhiqi
Zhang, Minjie



Version: Draft Version

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