This book focuses on the following specific questions: what are the basic computational properties of classifier systems? How does one represent symbolic structures with classifier systems? Can the parallelism of the classifier system be exploited to implement symbolic reasoning efficiently? Which operations are efficient and natural in classifier systems and which are not? The author shows how classifier systems can be used to implement a set of useful operations for the classification of knowledge in semantic networks. A subset of the KL-ONE langage was chosen to demonstrate these operations. The book provides a general introduction to classifier systems and to the subset of KL-ONE that was implemented and reviews previous results and develops a framework for organizing various classes of parallelism. It describes how the implementation was organized and the tools and methods that were used and presents theoretical results and practical algorithms for classifier systems that are independent of the KL-ONE part of the project.
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Seller: Munster & Company LLC, ABAA/ILAB, Corvallis, OR, U.S.A.
Condition: Good. Morgan Kaufmann Publishers, Inc., 1991. Moderate wear to covers and edges with bumping & creasing to corners, text is clean with no marks, binding tight. Not Ex-Library. 100% Guaranteed. paperback. Good. Seller Inventory # 622193