This book would be a great read for researchers and students interested in artificial intelligence, neural networks, and logic. The author presents a new class of neural networks called neural logic networks, which aim to model human intelligence more closely. The book is divided into three parts, each discussing the theory, applications, and special features of these networks. The most unique and distinctive feature of this book is its focus on combining logic and neural networks to create a mathematical model of human-like intelligence. Overall, this book provides a valuable contribution to the field of artificial intelligence and is recommended for those looking to expand their knowledge in this area.

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This book is the first of a series of technical reports of a key research project of the Real-World Computing Program supported by the MITI of Japan.The main goal of the project is to model human intelligence by a special class of mathematical systems called neural logic networks.The book consists of three parts. Part 1 describes the general theory of neural logic networks and their potential applications. Part 2 discusses a new logic called Neural Logic which attempts to emulate more closely the logical thinking process of human. Part 3 studies the special features of neural logic networks which resemble the human intuition process.This book should appeal to researchers in artificial intelligence, neural computings and logic, as well as graduate and advance undergraduate students in computer science.

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