翻訳と辞書 Words near each other ・ Distribute Surveillance System ・ Distributed Access Control System ・ Distributed acoustic sensing ・ Distributed Active Archive Center ・ Distributed active transformer ・ Distributed algorithm ・ Distributed algorithmic mechanism design ・ Distributed amplifier ・ Distributed Annotation System ・ Distributed Annotation System/Clients ・ Distributed antenna system ・ Distributed AOP ・ Distributed Application Specification Language ・ Distributed architecture for mobile navigation ・ Distributed Art Publishers ・ Distributed artificial intelligence ・ Distributed Bragg reflector ・ Distributed Bragg reflector laser ・ Distributed cache ・ Distributed Checksum Clearinghouse ・ Distributed Codec Engine ・ Distributed cognition ・ Distributed Common Ground System ・ Distributed Component Object Model ・ Distributed computing ・ Distributed Computing (journal) ・ Distributed Computing Environment ・ Distributed concurrency control ・ Distributed Concurrent Versions System ・ Distributed constraint optimization Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Distributed artificial intelligence ： ウィキペディア英語版 Distributed artificial intelligence Distributed Artificial Intelligence (DAI) is a subfield of artificial intelligence research dedicated to the development of distributed solutions for complex problems regarded as requiring intelligence. DAI is closely related to and a predecessor of the field of Multi-Agent Systems. ==Definition== Distributed Artificial Intelligence (DAI) is an approach to solving complex learning, planning, and decision making problems. It is embarrassingly parallel, thus able to exploit large scale computation and spatial distribution of computing resources. These properties allow it to solve problems that require the processing of very large data sets. DAI systems consist of autonomous learning processing nodes (agents), that are distributed, often at a very large scale. DAI nodes can act independently and partial solutions are integrated by communication between nodes, often asynchronously. By virtue of their scale, DAI systems are robust and elastic, and by necessity, loosely coupled. Furthermore, DAI systems are built to be adaptive to changes in the problem definition or underlying data sets due to the scale and difficulty in redeployment. DAI systems do not require all the relevant data to be aggregated in a single location, in contrast to monolithic or centralized Artificial Intelligence systems which have tightly coupled and geographically close processing nodes. Therefore, DAI systems often operate on sub-samples or hashed impressions of very large datasets. In addition, the source dataset may change or be updated during the course of the execution of a DAI system. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Distributed artificial intelligence」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.