## Artificial Intelligence in Logic DesignThere 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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### Common terms and phrases

2-qubit AND-bi-decomposition application Artiﬁcial Intelligence bi-decomposition binary tree blocks Boolean function calculated characteristic function set circuit design circuit graph coefﬁcient complete conditional entropy constraints construction cost crossover decision diagrams decomposed decomposition functions dedicated sets deﬁned Deﬁnition discretization double-beam search effective and efﬁcient EGG system encoding entropy equation evaluation evolutionary example EXOR Feynman gates ﬁmction ﬁnal ﬁnd ﬁrst ﬁtness function Fredkin gate full adder function f function g(A fuzzy control Genetic Algorithms Genetic Programming heuristic hypercube IEEE implemented information measures ISF F Joiwiak JV-hypercube logic synthesis Lukac matrix method MFI F(A minimal minterms multi-valued Multiple-Valued Logic mutation mutual information MVL functions operators optimal OR-bi-decomposition output parameters partition pattem Perkowski permutation quantum circuits quantum computing quantum gate quantum logic qubits QuickScan representation represented respect satisﬁed Section selection shown in Figure speciﬁed Table techniques Theorem tion Toffoli gate transformations unitary matrix values YADE

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Page 3 - He is currently an Assistant Professor in the Department of Electrical and Computer Engineering at Mississippi State University.