Agent-based knowledge evolution management and fuzzy rule-based evolution detection in Bayesian networks

Abstract

All data and information are not always available at the time of a system design and implementation. Especially in knowledge-based systems, training data could be limited at the early stage and more training data might be acquired after the system deployment. This paper is concerned with a method to keep track of knowledge evolution and to detect the… (More)

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