DocumentCode
3103876
Title
When BDI Meets Argumentation: The Conceptual Ideal
Author
Shiang, Cheah Wai ; Kulathuramaiyer, Narayanan ; Fui, Lai Suk
Author_Institution
Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak, Kota Samarahan
fYear
2006
fDate
18-22 Dec. 2006
Firstpage
622
Lastpage
628
Abstract
Argument-based negotiation consists of a meaningful expression, able to provide better reasoning features and flexibility. Agents in this case, become aware of the information surrounding them in an attempt to analyze, influence and understand its counterparts or opponents. The agents behave intelligently to facilitate the argumentation process, which consists of argument interpretation, argument evaluation, argument generation and argument selection. The belief, desire, intention (BDI) mode, on the other hand, is a widely adopted for modeling intelligence. Hence, we explore the relationship between these two models. We argue that a typical intelligent model involves two component, which are the reasoning and communication components. The integration between these components, however, is still unclear. This paper proposes the integration among the reasoning aspect (BDI in particular) and communication aspect (argumentation specifically) in an open multi-agent society. The capability of argument-based negotiation enables the BDI agent in intention reconsideration, to enhance its reasoning powers.
Keywords
inference mechanisms; multi-agent systems; argument evaluation; argument generation; argument interpretation; argument selection; argument-based negotiation; belief desire intention mode; multi-agent society; reasoning aspect; Algorithm design and analysis; Books; Computer science; Information analysis; Information technology; Intelligent agent; Libraries;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Agent Technology, 2006. IAT '06. IEEE/WIC/ACM International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-2748-5
Type
conf
DOI
10.1109/IAT.2006.132
Filename
4052986
Link To Document