This volume is the most current and complete evaluation of multi-computer networks. It presents an up-to-date and detailed survey which describes the large number of multi-computer architectures that have been built during the past few years, and the even greater variety that are presently being built, designed, and explored. Special emphasis is given to approaches that show promise for handling complex real-world problems in real time. Describes the range of problems that confront workers in artificial intelligence (AI), and explains some of the major approaches being taken by AI researchers, focusing on the robust, flexible, extremely fast (hence highly parallel) systems. Presents judgements and opinions as to the most promising multi-computer archtectures for AI--including a number of exciting multi-computer structures.
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Examined in this book is the present state and future direction of multi-computer parallel architectures for artificial intelligence research and development of artificial intelligence applications. The book provides a detailed survey of the large variety of parallel architectures, describing the current state of the art and suggesting promising architectures to produce artificial intelligence systems such as intelligent robots.
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