| 000 | 03058nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-39338-9 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125159.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230825s2023 sz | s |||| 0|eng d | ||
| 020 |
_a9783031393389 _9978-3-031-39338-9 |
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| 024 | 7 |
_a10.1007/978-3-031-39338-9 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 072 | 7 |
_aUYQ _2thema |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aBrézillon, Patrick. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aResearch on Modeling and Using Context Over 25 Years _h[electronic resource] / _cby Patrick Brézillon. |
| 250 | _a1st ed. 2023. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
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| 300 |
_aX, 62 p. 11 illus., 8 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5776 |
|
| 505 | 0 | _aPreface -- 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. | |
| 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 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aComputer simulation. | |
| 650 | 1 | 4 | _aArtificial Intelligence. |
| 650 | 2 | 4 | _aComputer Modelling. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031393372 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031393396 |
| 830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5776 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-39338-9 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cSPRINGER | ||
| 999 |
_c175137 _d175137 |
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