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Some practical issues on implementing distributed multi-agent reasoning systems

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2 Author(s)
Diaf, A. ; Dept. of ECE, Univ. of Windsor, Windsor, ON ; Noroozi, N.

As intelligent systems are being applied to increasingly larger, open and more complex problem domains. These domains demand a systematic approach to handle the complexity in knowledge engineering. The needs include modularity in representation, distribution in computation, as well as coherence in inference. Multiply Sectioned Bayesian Networks provide a distributed multi-agent framework to address these needs. According to the framework, a large system is partitioned into subsystems and represented as a set of related Bayesian subnets. To ensure exact inference, partitioning of a large system into subsystems must follow a set of technical assumptions. In this paper, we propose a practical method that gives the answer of how to achieve concrescence of agentspsila believes in a distributed multi-agent system, instead of restricting them by an assumption of being consistent.

Published in:

Electro/Information Technology, 2008. EIT 2008. IEEE International Conference on

Date of Conference:

18-20 May 2008