Research on Modeling and Using Context Over 25 Years / by Patrick Brézillon
By: Brezillon, Patrick, autor
Material type:
E-bookSeries: (SpringerBriefs in Computer Science, 2191-5776).Publisher: Cham : Springer Nature Switzerland , 2023Edition: 1st ed 2023.Description: 1 recurso en línea.ISBN: 9783031393389.Subject: Computación ubicua
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.5915 2023 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook04012340 |
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| QA76.5915 2022 EB Ubiquitous Intelligent Systems : Proceedings of ICUIS 2021 | QA76.5915 2022 EB Data Engineering for Smart Systems : Proceedings of SSIC 2021 | QA76.5915 2023 EB The Evolution of Pervasive Information Systems | QA76.5915 2023 EB Research on Modeling and Using Context Over 25 Years | QA76.5915 .C65 2016 EB Connectivity Frameworks for Smart Devices : The Internet of Things from a Distributed Computing Perspective | QA76.5915 .I57 2016 EB Context-Aware Systems and Applications : 4th International Conference, ICCASA 2015, Vung Tau, Vietnam, November 26-27, 2015, Revised Selected Papers | QA76.5915 .I57 2016 EB Internet of Things (IoT) in 5G Mobile Technologies |
Preface -- Introduction -- The real-World applications -- Operational Knowledge and context -- From context modeling to implementation for individuals -- From context modeling to implementation for group activity -- Discussion and lessons learned -- Conclusion.
This book is the outcome of 25 years of research on how to model and use context in real-world applications on a spectrum from technology-centered (SEPT, SART) to human-centered (e.g. FlexMIm) applications, that is, from well-defined domains to more fuzzy ones. It presents: · an operational definition of context that initiated a conceptual framework associated with an implementation framework, the Contextual-Graphs (CxG) formalism · the use of the research for designing a future type of AI systems, namely the context-based intelligent assistant systems There is a large international and interdisciplinary community of individuals convinced by the promises of bottom-up approaches as an alternative to the current top-down approaches in AI mainly. Practitioners will discover a tool easy to understand and use. Researchers will dispose of a comprehensive conceptual framework facilitating its extension on aspects not yet covered beyond group activity modeling, in the realm of the research on AI systems.
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