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, .
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
10.1007/978-3-031-39338-9 doi
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, .
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
10.1007/978-3-031-39338-9 doi
Artificial intelligence.
Computer simulation.
Artificial Intelligence.
Computer Modelling.
Q334-342 TA347.A78
006.3