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 AIincluding a number of exciting multi-computer structures.
|Product dimensions:||6.30(w) x 9.25(h) x 0.87(d)|
Table of Contents
BACKGROUND INFORMATION AND BASIC STRUCTUES.
PARALLEL AND PROCESS-STRUCTURED MULTI-COMPUTER ARCHITECTURES.
ARTIFICIAL INTELLIGENCE: MAJOR APPROACHES;INDICATED ARCHITECTURES.
THE PRESENT STATE; MAJOR PROBLEMS; MOST PROMISING ARCHITECTURES.