NDLI: Some practical issues on implementing distributed multi-agent reasoning systems

Content Provider	IEEE Xplore Digital Library
Author	Diaf, A. Noroozi, N.
Copyright Year	2008
Description	Author affiliation: Dept. of ECE, Univ. of Windsor, Windsor, ON (Diaf, A.)
Abstract	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.
Starting Page	30
Ending Page	36
File Size	446375
Page Count	7
File Format	PDF
ISBN	9781424420292
DOI	10.1109/EIT.2008.4554263
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bayesian methods Intelligent systems Artificial intelligence Lakes Knowledge engineering Distributed computing Multiagent systems Graphical models Operations research Statistics Distributed Muti-agent Systems Bayesian Networks Multiply Sectioned BNs Linked Junction Forests
Content Type	Text
Resource Type	Article

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