國立虎尾科技大學 |

Distributed artificial intelligence.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Distributed artificial intelligence./
作者:	Andre, Lee McBennett.
面頁冊數:	1 online resource (159 pages)
附註:	Source: Masters Abstracts International, Volume: 56-04.
Contained By:	Masters Abstracts International56-04.
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9798496523721

Distributed artificial intelligence.
Andre, Lee McBennett.

Distributed artificial intelligence. - 1 online resource (159 pages)

Source: Masters Abstracts International, Volume: 56-04.

Thesis (M.S.)--California State University, Long Beach, 1994.

Includes bibliographical references

Distributed artificial intelligence (DAI) represents the combination of artificial intelligence (AI) design techniques and applications with the field of distributed systems. By combining AI with distributed systems, a unique perspective is generated on cooperating, semi-autonomous agents working together to solve a single problem. The Hearsay-II project, the PUP6 testbed and the Contract Net experiment represent three influential DAI architectures that changed the development of the DAI field at different stages early in its development. Six dimensions of DAI exist. The first three dimensions are the distribution of data, processing and control. The last three dimensions are organizational decomposition, task versus result sharing and product versus functional decomposition. Newer developments within the field are typified by the distributed knowledge object model (DKOM) and by research focused on fundamental properties of DAI. Recent research and development indicates the importance of three aspects of DAI systems: mapping of sub-problems to nodes to ensure efficient problem solving with minimal communication; a communications architecture that encourages global coherency; and a communications protocol to facilitate high-level, efficient messaging between nodes.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798496523721Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Distributed artificial intelligence.
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504 $a Includes bibliographical references
520 $a Distributed artificial intelligence (DAI) represents the combination of artificial intelligence (AI) design techniques and applications with the field of distributed systems. By combining AI with distributed systems, a unique perspective is generated on cooperating, semi-autonomous agents working together to solve a single problem. The Hearsay-II project, the PUP6 testbed and the Contract Net experiment represent three influential DAI architectures that changed the development of the DAI field at different stages early in its development. Six dimensions of DAI exist. The first three dimensions are the distribution of data, processing and control. The last three dimensions are organizational decomposition, task versus result sharing and product versus functional decomposition. Newer developments within the field are typified by the distributed knowledge object model (DKOM) and by research focused on fundamental properties of DAI. Recent research and development indicates the importance of three aspects of DAI systems: mapping of sub-problems to nodes to ensure efficient problem solving with minimal communication; a communications architecture that encourages global coherency; and a communications protocol to facilitate high-level, efficient messaging between nodes.
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538 $a Mode of access: World Wide Web
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