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Titlebook: From Fault Classification to Fault Tolerance for Multi-Agent Systems; Katia Potiron,Amal El Fallah Seghrouchni,Patrick T Book 2013 The Aut

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書目名稱From Fault Classification to Fault Tolerance for Multi-Agent Systems
編輯Katia Potiron,Amal El Fallah Seghrouchni,Patrick T
視頻videohttp://file.papertrans.cn/349/348677/348677.mp4
概述Includes supplementary material:
叢書名稱SpringerBriefs in Computer Science
圖書封面Titlebook: From Fault Classification to Fault Tolerance for Multi-Agent Systems;  Katia Potiron,Amal El Fallah Seghrouchni,Patrick T Book 2013 The Aut
描述.Faults are a concern for Multi-Agent Systems (MAS) designers, especially if the MAS are built for industrial or military use because there must be some guarantee of dependability. Some fault classification exists for classical systems, and is used to define faults. When dependability is at stake, such fault classification may be used from the beginning of the system’s conception to define fault classes and specify which types of faults are expected. Thus, one may want to use fault classification for MAS; however, .From Fault Classification to Fault Tolerance for Multi-Agent Systems. argues that working with autonomous and proactive agents implies a special analysis of the faults potentially occurring in the system. Moreover, the field of Fault Tolerance (FT) provides numerous methods adapted to handle different kinds of faults. Some handling methods have been studied within the MAS domain, adapting to their specificities and capabilities but increasing the large amount of FT methods. Therefore, unless being an expert in fault tolerance, it is difficult to choose, evaluate or compare fault tolerance methods, preventing a lot of developed applications from not only to being more ple
出版日期Book 2013
關(guān)鍵詞Agent Architecture; Autonomous Agent; Behavioral Faults; Fault Classification; Fault Tolerance; Multi-Age
版次1
doihttps://doi.org/10.1007/978-1-4471-5046-6
isbn_softcover978-1-4471-5045-9
isbn_ebook978-1-4471-5046-6Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2013
The information of publication is updating

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