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Titlebook: Embedded Automation in Human-Agent Environment; Jeffrey W. Tweedale,Lakhmi C. Jain Book 2012 Springer Berlin Heidelberg 2012 Embedded Auto

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發(fā)表于 2025-3-21 19:48:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Embedded Automation in Human-Agent Environment
編輯Jeffrey W. Tweedale,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/308/307879/307879.mp4
概述Presents a general conceptual framework for the development of automation in human-agents environments.Recent Advances of Embedded Automation in Human-Agent Environment.Written by leading experts in t
叢書名稱Adaptation, Learning, and Optimization
圖書封面Titlebook: Embedded Automation in Human-Agent Environment;  Jeffrey W. Tweedale,Lakhmi C. Jain Book 2012 Springer Berlin Heidelberg 2012 Embedded Auto
描述This research book proposes a general conceptual framework for the development of automation in human-agents environments that will allow human- agent teams to work effectively and efficiently. We examine various schemes to implement artificial intelligence techniques in agents.? The text is directed to the scientists, application engineers, professors and students of all disciplines, interested in the agency methodology and applications.
出版日期Book 2012
關(guān)鍵詞Embedded Automation; Human-Agent Environment; Intelligent Agent
版次1
doihttps://doi.org/10.1007/978-3-642-22676-2
isbn_softcover978-3-642-27022-2
isbn_ebook978-3-642-22676-2Series ISSN 1867-4534 Series E-ISSN 1867-4542
issn_series 1867-4534
copyrightSpringer Berlin Heidelberg 2012
The information of publication is updating

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發(fā)表于 2025-3-21 21:50:11 | 只看該作者
Medienberufe: Der erfolgreiche Weg zum Zielhine and the architectures required to solve problems. Disruptions in developing AI techniques bounded with insertion of new technology, but most were focused on commercial applications, other than niche domains like AI.
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1867-4534 n in Human-Agent Environment.Written by leading experts in tThis research book proposes a general conceptual framework for the development of automation in human-agents environments that will allow human- agent teams to work effectively and efficiently. We examine various schemes to implement artifi
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發(fā)表于 2025-3-22 14:36:53 | 只看該作者
,Rückbezüge: Theorie und Praxis im Dialog,tion of many of these techniques within the AI domain. After introducing the problem, we will briefly discuss Heuristic search [16], Brute Force (exhaustive) and Backtracking [401]. The only mandatory condition for a Sudoku puzzle is that it must have a solution, although it should be solved logically and without guessing or search.
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Innovation in Modern Artificial Intelligence,ive exploits. Over half a century has passed and we are still using the same fundamental computing architectures. Many disciplines have contributed to the development of agents, threads and component architecture. This chapter briefly discusses many of the key developments in CI and their relationship to this book.
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Future and Direction,and flexibility of agent communication using polymorphism. Through collaborative efforts, rudimentary MOE or MOP measures have been devised to resolve trust issues. However this research is ongoing.Any questions about efficiency and scale have been delayed until themodel has matured or other researchers adopt the challenge.
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