Artificial Intelligence in Logic Design

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Springer Science & Business Media, Jul 27, 2004 - Computers - 334 pages
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There are three outstanding points of this book. First: for the first time, a collective point of view on the role of artificial intelligence paradigm in logic design is introduced. Second, the book reveals new horizons of logic design tools on the technologies of the near future. Finally, the contributors of the book are twenty recognizable leaders in the field from the seven research centres. The chapters of the book have been carefully reviewed by equally qualified experts. All contributors are experienced in practical electronic design and in teaching engineering courses. Thus, the book's style is accessible to graduate students, practical engineers and researchers.
 

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Contents

MultipleValued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited
9
Evolutionary Synthesis of Arithmetic Circuit Structures
39
BiDecomposition of Function Sets in MultipleValued Logic for Circuit Design and Data Mining
73
Advanced AI Search Techniques in Modern Digital Circuit Synthesis
109
Exploiting Functional Properties of Boolean Functions for Optimal MultiLevel Design by HiDecomposition
159
Evolutionary Approach to Quantum and Reversible Circuits Synthesis
201
Conquering Uncertainty in MultipleValued Logic Design
259
Evolutionary Synthesis of Logic Circuits Using Information Theory
285
ThreeDimensional Feedforward Neural Networks and Their Realization by NanoDevices
313
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Page 3 - He is currently an Assistant Professor in the Department of Electrical and Computer Engineering at Mississippi State University.

About the author (2004)

University of Calgary