000			01940nam a2200277Ia 4500
000			02411nam a22003015i 4500
001			978-3-031-39338-9
003			DE-He213
005			20240319120809.0
007			cr nn 008mamaa
008			230825s2023 sz | s |||| 0|eng d
020			_a9783031393389 _9978-3-031-39338-9
082			_a6.3
100			_aBrézillon, Patrick. _929007
245			_aResearch on Modeling and Using Context Over 25 Years _cby Patrick Brézillon. _h[electronic resource] /
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aX, 62 p. 11 illus., 8 illus. in color. _bonline resource.
520			_aThis 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.
650			_aArtificial intelligence. _929008
650			_aArtificial Intelligence. _929009
650			_aComputer Modelling. _929010
650			_aComputer simulation. _929011
856			_uhttps://doi.org/10.1007/978-3-031-39338-9
942			_cEBK _2ddc
999			_c15014 _d15014