» » Multi-Computer Architectures for Artificial Intelligence: Toward Fast, Robust, Parallel Systems
Download Multi-Computer Architectures for Artificial Intelligence: Toward Fast, Robust, Parallel Systems djvu

Download Multi-Computer Architectures for Artificial Intelligence: Toward Fast, Robust, Parallel Systems djvu

by Leonard Uhr

Author: Leonard Uhr
Subcategory: Computer Science
Language: English
Publisher: Wiley-Interscience; 1 edition (February 20, 1987)
Pages: 357 pages
Category: Technologies and Computers
Rating: 4.3
Other formats: lrf docx doc mobi

Uhr, Leonard Merrick, 1927-. Books for People with Print Disabilities. Internet Archive Books.

Uhr, Leonard Merrick, 1927-. Artificial intelligence, Parallel processing (Electronic computers), Computer networks, Computer architecture, Intelligence artificielle, Parallélisme (Informatique), Réseaux d'ordinateurs, Ordinateurs, Artificial intelligence Parallel-processor systems. org on March 5, 2010. SIMILAR ITEMS (based on metadata). Terms of Service (last updated 12/31/2014).

Multi-Computer Archite. Details (if other): Cancel. Thanks for telling us about the problem.

Leonard Uhr. Multi-Computer Architectures for Artificial Intelligence: Toward Fast, Robust, Parallel Systems. Leonard Uhr (E. Parallel Computer Vision. Boston: Academic Press. Leonard Uhr. Algorithm Structured Computer Arrays and Networks: Architectures for Images, Percepts, Models, Information.

oceedings{AF, title {Multi-computer architectures for artificial intelligence . And now, we show you one of the best, the multi computer architectures for artificial intelligence toward fast robust parallel systems. View PDF. Save to Library.

oceedings{AF, title {Multi-computer architectures for artificial intelligence - toward fast, robust, parallel systems}, author {Leonard Uhr}, year {1987} }. Published 1987. How can you change your mind to be more open? There many sources that can help you to improve your thoughts. It can be from the other experiences and also story from some people.

August 26, 2011 History. toward fast, robust, parallel systems. Leonard Merrick Uhr. Multi-computer architectures for artificial intelligence. 1 2 3 4 5. Want to Read. by Leonard Merrick Uhr. Published 1987 by Wiley in New York.

Uhr, . Cite this paper as: Uhr L. (1989) Process-structured architectures to transform information flowing through. In: Wolf . Legendi . Schendel U. (eds) Parcella '88. Parcella 1988. New York: Wiley, 1987. Uhr, . Preston, . Levialdi, S. and Duff, . Ed., Evaluation of Multi-Computers for Image Processing. New York: Academic Press, 1986. Authors and Affiliations. 1. omputer Sciences Dept. University of WisconsinMadisonUSA.

Multi-computer architectures for artificial intelligence - toward fast, robust, parallel systems. Initial Performance of the DADO2 Prototype. DADO was first proposed in 1980 as a special-purpose parallel computer attached to a conventional host processor and designed to accelerate a particular class of artificial intelligence rule-based programming paradigms called production systems. PSs have been widely used for the implementation of knowledge-based expert systems.

Multi-Computer Architectures for Artificial Intelligence: Toward Fast, Robust, Parallel Systems. Published by Wiley-Interscience (1987)

Multi-Computer Architectures for Artificial Intelligence: Toward Fast, Robust, Parallel Systems. Published by Wiley-Interscience (1987). ISBN 10: 0471849790 ISBN 13: 9780471849797.

by Leonard Uhr · Book Multi-Computer Architectures for. by Leonard Uhr. Hardcover. ISBN: 978-0-471-84979-7. ISBN-10: 0-471-84979-0. Wiley-Interscience · 1987.

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.