Decentralized Reasoning in Ambient Intelligence by Markus Endler (English) Paper

Description: Decentralized Reasoning in Ambient Intelligence by Markus Endler, José Viterbo Decentralized Reasoning in Ambient Intelligence proposes a decentralized reasoning approach for performing rule-based reasoning about context data targeting AmI systems. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description In Ambient Intelligence (AmI) systems, reasoning is fundamental for triggering actions or adaptations according to specific situations that may be meaningful and relevant to some applications. However, such reasoning operations may need to evaluate context data collected from distributed sources and stored in different devices, as usually not all context data is readily available to the reasoners within the system. Decentralized Reasoning in Ambient Intelligence proposes a decentralized reasoning approach for performing rule-based reasoning about context data targeting AmI systems. For this purpose, the authors define a context model assuming context data distributed over two sides: the user side, represented by the users and their mobile devices, and the ambient side, represented by the fixed computational infrastructure and ambient services. They formalize the cooperative reasoning operation — in which two entities cooperate to perform decentralized rule-based reasoning — and define a complete process to perform this operation. Notes Presents a detailed description of how to implement a decentralized reasoning mechanism for intelligent ambients Back Cover In Ambient Intelligence (AmI) systems, reasoning is fundamental for triggering actions or adaptations according to specific situations that may be meaningful and relevant to some applications. However, such reasoning operations may need to evaluate context data collected from distributed sources and stored in different devices, as usually not all context data is readily available to the reasoners within the system. Decentralized Reasoning in Ambient Intelligence proposes a decentralized reasoning approach for performing rule-based reasoning about context data targeting AmI systems. For this purpose, the authors define a context model assuming context data distributed over two sides: the user side, represented by the users and their mobile devices, and the ambient side, represented by the fixed computational infrastructure and ambient services. They formalize the cooperative reasoning operation -- in which two entities cooperate to perform decentralized rule-based reasoning -- and define a complete process to perform this operation. Table of Contents Introduction.- Fundamental Concepts.- Related Work.- Cooperative Reasoning.- Our Approach for Cooperative Reasoning.- Case Study.- Implementation.- Evaluation.- Conclusion. Feature Presents a detailed description of how to implement a decentralized reasoning mechanism for intelligent ambients Details ISBN1447141679 Author José Viterbo Publisher Springer London Ltd Year 2012 ISBN-10 1447141679 ISBN-13 9781447141679 Format Paperback Imprint Springer London Ltd Place of Publication England Country of Publication United Kingdom DEWEY 006.3 Short Title DECENTRALIZED REASONING IN AMB Edition Description 2012 Language English Media Book Pages 96 Edition 2012th DOI 10.1007/978-1-4471-4168-6 Publication Date 2012-05-25 AU Release Date 2012-05-25 NZ Release Date 2012-05-25 UK Release Date 2012-05-25 Illustrations 25 Illustrations, black and white; IX, 96 p. 25 illus. Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96240896;

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