Logical Foundations for Rule-Based Systems, 2nd Edition (Studies in Computational Intelligence, Volume 11) by Antoni Ligeza

Logical Foundations for Rule-Based Systems, 2nd Edition (Studies in Computational Intelligence, Volume 11)



Download Logical Foundations for Rule-Based Systems, 2nd Edition (Studies in Computational Intelligence, Volume 11)




Logical Foundations for Rule-Based Systems, 2nd Edition (Studies in Computational Intelligence, Volume 11) Antoni Ligeza
Language: English
Page: 316
Format: pdf
ISBN: 3540291172, 9783540291176
Publisher:

Review

From the reviews of the second edition: "Rule-Based Systems (RBSs) constitute a powerful tool for specification of knowledge in design and implementation of knowledge-based systems … . The aim of this book is to present RBSs from the logical perspective … . The special feature of this book on RBSs is that … the present RBS monograph follows a unitary line of formalism … . The book is addressed to researchers, students and engineers interested in RBS technology … a source of inspiration for knowledge engineering theory and practice." (Neculai Cureanu, Zentralblatt MATH, Vol. 1095 (21), 2006)

From the Back Cover

The book presents logical foundations for rule-based systems, as seen by the Author. An attempt has been made to provide an in-depth discussion of logical and other aspects of such systems, including languages for knowledge representation, inference mechanisms, inference control, design and verification. The ultimate goal was to provide a deeper theoretical insight into the nature of rule-based systems and put together the most complete presentation including details so frequently skipped in typical textbooks. The main parts present material on: • logical foundations of rule-based systems (Part I); • principles of rule-based systems structures, knowledge representation languages, inference and inference control (Part II); • verification of formal properties of rule-based systems (Part III); • design methodology for efficient development of such systems (Part IV). The book may be useful to potentially wide audience, but it is aimed at providing specific knowledge for graduate, post-graduate and Ph.D. students, as well as knowledge engineers and research workers involved in the domain of AI. It also constitutes a summary of the Author’s research and experience gathered through several years of his research work.

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