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.
"synopsis" may belong to another edition of this title.
The research of Professor P. Brézillon focuses since 1992 on the study of Intelligent Assistant Systems, and particularly the aspects as explanation, context, and incremental knowledge acquisition. Since several years, the emphasis of his studies is on the notion of context. Professor P. Brézillon is the instigator of the series of international and interdisciplinary conferences (biannual) on modeling and using context from 1997 (in Rio de Janeiro, Brasil) to 2019 (in Trento, Italy).
He has published about 450 papers in international conferences and international journals (e.g., IEEE Expert, AI Magazine, The Knowledge Engineering Review, and the International Journal on Human-Computer Studies). He has been the chair of several workshops (at ECAI, IJCAI, etc.), co-organizer of two international conferences in the AI area, member of 191 program committees, and has given several invited talks and tutorials.
"About this title" may belong to another edition of this title.
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