Situation resolution with context-sensitive fuzzy relations
Proceedings of SPIE(2009)
摘要
Context plays a significant role in situation resolution by intelligent agents (human or machine) by affecting how the
situations are recognized, interpreted, acted upon or predicted. Many definitions and formalisms for the notion of context
have emerged in various research fields including psychology, economics and computer science (computational
linguistics, data management, control theory, artificial intelligence and others). In this paper we examine the role of
context in situation management, particularly how to resolve situations that are described by using fuzzy (inexact)
relations among their components. We propose a language for describing context sensitive inexact constraints and an
algorithm for interpreting relations using inexact (fuzzy) computations.
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关键词
intelligent agent,control theory,algorithms,fuzzy logic,computer science,psychology,man,computational linguistics,artificial intelligence
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