Titlebook: Knowledge Based Computer Systems; International Confer S. Ramani,R. Chandrasekar,K. S. R. Anjaneyulu Conference proceedings 1990 Springer-V

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A representation for modeling functional knowledge in geometric structures,nderlying functional knowledge. Typically, users have used ad hoc subjective notions to perform this abstraction, which we call the "get-beneath-the-geometry" syndrome..In this work we describe a systematic representation scheme that builds spatial maps based on local relations between objects. It d

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Differing perspectives of knowledge representation in artificial intelligence and discrete event mops in a problem domain. Some of these formalisms of AI and DEM are presented and compared. Most of the AI formalisms are beset by the frame, qualification, and/or ramification problems. DEM formalisms which can be viewed as formalisms for temporal and causal reasoning are not beset by these problems

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K. K. Bajaj,R. K. Dubash,Robert Kowalskies advanced topics in complex analysis that verge on current areas of research. The author adroitly weaves these varied topics to reveal a number of delightful interactions. Perhaps more importantly, the topics are presented with an understanding and explanation of their interrelations with other im

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Sunil Arvindam,Vipin Kumar,V. Nageshwara Rao,Vineet Singh- cations. These applications are to optimization theory in general and to best approximation theory in particular. The geometric nature of the subjects has greatly influenced the approach to functional analysis presented herein, especially its basis on the unifying concept of convexity. Most of the

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