Mathematical Aspects of Logic Programming Semantics

Mathematical Aspects of Logic Programming Semantics

Mathematical Aspects of Logic Programming Semantics

Mathematical Aspects of Logic Programming Semantics

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Overview

Covering the authors' own state-of-the-art research results, this book presents a rigorous, modern account of the mathematical methods and tools required for the semantic analysis of logic programs. It significantly extends the tools and methods from traditional order theory to include nonconventional methods from mathematical analysis that depend on topology, domain theory, generalized distance functions, and associated fixed-point theory. The authors closely examine the interrelationships between various semantics as well as the integration of logic programming and connectionist systems/neural networks.

Product Details

ISBN-13: 9781000218725
Publisher: CRC Press
Publication date: 04/19/2016
Series: Chapman & Hall/CRC Studies in Informatics Series
Sold by: Barnes & Noble
Format: eBook
Pages: 304
Sales rank: 483,431
File size: 5 MB

About the Author

Pascal Hitzler is an assistant professor in the Kno.e.sis Center for Knowledge-Enabled Computing, which is an Ohio Center of Excellence at Wright State University. Dr. Hitzler is editor-in-chief of the journal Semantic Web- Interoperability, Usability, Applicability and co-author of the textbook Foundations of Semantic Web Technologies (CRC Press, August 2009). His research interests encompass the Semantic Web, neural-symbolic integration, knowledge representation and reasoning, denotational semantics, and set-theoretic topology.

Anthony Seda is a senior lecturer in the Department of Mathematics and co-founder of the Boole Centre for Research in Informatics at University College Cork. Dr. Seda is an editorial board member of Information and the International Journal of Advanced Intelligence. His research interests include measure theory, functional analysis, topology, fixed-point theory, denotational semantics, and the semantics of logic programs.

Table of Contents

Order and Logic. The Semantics of Logic Programs. Topology and Logic Programming. Fixed-Point Theory for Generalized Metric Spaces. Supported Model Semantics. Stable and Perfect Model Semantics. Logic Programming and Artificial Neural Networks. Final Thoughts. Appendix. Bibliography. Index.
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