Research on Modeling and Using Context Over 25 Years
Brézillon, Patrick.
Research on Modeling and Using Context Over 25 Years [electronic resource] / by Patrick Brézillon. - 1st ed. 2023. - X, 62 p. 11 illus., 8 illus. in color. online resource. - SpringerBriefs in Computer Science, 2191-5776 . - SpringerBriefs in Computer Science, .
Acceso multiusuario
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.
9783031393389
Artificial intelligence.
Computer simulation.
Artificial Intelligence.
Computer Modelling.
Q334-342 TA347.A78
006.3
Research on Modeling and Using Context Over 25 Years [electronic resource] / by Patrick Brézillon. - 1st ed. 2023. - X, 62 p. 11 illus., 8 illus. in color. online resource. - SpringerBriefs in Computer Science, 2191-5776 . - SpringerBriefs in Computer Science, .
Acceso multiusuario
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.
9783031393389
Artificial intelligence.
Computer simulation.
Artificial Intelligence.
Computer Modelling.
Q334-342 TA347.A78
006.3
