MEBRS: A multiagent architecture for an experience based reasoning system
Sun, Z. & Finnie, G. (2005). MEBRS: A multiagent architecture for an experience based reasoning system. In R. Khosla, R. J. Howlett & L. C. Jain (Eds.), Knowledge-based intelligent information and engineering systems: Part 1 (pp.972-978). Germany: Springer.
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2005 HERDC submission.
© Copyright Springer-Verlag Berlin Heidelberg, 2005
The original publication is available at www.springerlink.com
This paper reviews eight different inference rules for experience based reasoning (EBR), and proposes a multiagent architecture for an EBR system, which constitutes an important basis for developing any multiagent EBR systems (EBRS). The proposed architecture consists of a global experience base (GEB), and a multi-inference engine (MIE), which is the mechanism for implementing eight reasoning paradigms based on eight inference rules for EBR. The proposed approach will facilitate research and development of experience management, knowledge-based systems, and recognition of fraud and deception in e-commerce.
Zhaohao Sun and Gavin Finnie. "MEBRS: A multiagent architecture for an experience based reasoning system" Information Technology papers (2005).
Available at: http://works.bepress.com/gavin_finnie/40