Artificial Intelligence in Logic Design, Reprinted from ARTIFICIAL INTELLIGENCE REVIEW, 20:3-4, 2004 The Springer International Series in Engineering and Computer Science Series, Vol. 766

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.

Editorial.- Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited.- Evolutionary Synthesis of Arithmetic Circuit Structures.- Bi-Decomposition of Function Sets in Multiple-Valued Logic for Circuit Design and Data Mining.- Advanced AI Search Techniques in Modern Digital Circuit Synthesis.- Exploiting Functional Properties of Boolean Functions for Optimal Multi-Level Design by Bi-Decomposition.- Evolutionary Approach to Quantum and Reversible Circuits Synthesis.- Conquering Uncertainty in Multiple-Valued Logic Design.- Evolutionary Synthesis of Logic Circuits Using Information Theory.- Three-Dimensional Feedforward Neural Networks and Their Realization by Nano-Devices.