Research Catalog
Multi-computer architectures for artificial intelligence : toward fast, robust, parallel systems
- Title
- Multi-computer architectures for artificial intelligence : toward fast, robust, parallel systems / Leonard Uhr.
- Author
- Uhr, Leonard Merrick, 1927-
- Publication
- New York : Wiley, ©1987.
Items in the Library & Off-site
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1 Item
Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Book/Text | Use in library | Q336 .U37 1987 | Off-site |
Details
- Description
- xii, 358 pages : illustrations; 24 cm
- Subject
- Artificial intelligence > Data processing
- Parallel processing (Electronic computers)
- Computer networks
- Computer architecture
- Computer Communication Networks
- Artificial intelligence > Data processing
- Computer architecture
- Computer networks
- Computerarchitektur
- Künstliche Intelligenz
- Parallelrechner
- Computerarchitektur
- Parallelrechner
- Note
- "A Wiley-Interscience publication."
- Includes indexes.
- Bibliography (note)
- Bibliography: p. 310-339.
- Contents
- Key artificial intelligence problems, and architectures -- Universal Turing machines and the theoretical basis of computers -- Conventional general-purpose single-cpu serial computers and super-computers -- The present, impending, and future technological possibilities -- The basic graph topologies from which multi-computers can be constructed -- The basic hardware and software components of multi-computers -- Linking small numbers of computers into pseudo-complete graphs -- Pipelines and assembly lines -- Very large networks structured into arrays -- Augmented arrays, pyramids: toward augmented pyramids -- Point-to-point linked topologies for large MIMD multi-computers -- Good (and a few optimal) topologies for multi-computers -- Toward very large MIMD networks with potentially millions of computers -- Toward more generally usable and/or more algorithm-structured architectures -- The human mind/brain, and possibilities of parallelism in each AI function -- Perception: image processing, pattern recognition, computer vision -- Structuring and accessing symbolic, linguistic, iconic and perceptual information -- Speech and language: analysis, recognition, understanding -- Problem-solving, theorem-proving, deciding: "expert systems" -- Robot motor control and coordination -- Learning -- Wholistic systems that integrate several intelligent processes -- A critical look at architectures proposed for AI -- Suggestions as to the most promising architectures -- Parallel architectures summarized, and several key issues.
- ISBN
- 0471849790
- 9780471849797
- LCCN
- 86015746
- OCLC
- ocm13822605
- 13822605
- SCSB-9151381
- Owning Institutions
- Princeton University Library