| 000 | 02588nam a22003495i 4500 | ||
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| 001 | 103046 | ||
| 003 | DE-He213 | ||
| 005 | 20240111050144.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170619s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319594309 | ||
| 024 | 7 |
_a10.1007/978-3-319-59430-9 _2doi |
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| 040 |
_aES-MaUEC _bspa |
||
| 050 | 4 | _aQA76.9.H85 2018 EB | |
| 100 | 1 |
_aSánchez-Escribano, M. Guadalupe _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aEngineering Computational Emotion - A Reference Model for Emotion in Artificial Systems _cby M. Guadalupe Sánchez-Escribano. |
| 264 | 1 |
_aCham _bSpringer International Publishing _c2018 |
|
| 300 | _a1 recurso en línea (XXI, 258 páginas 82 ilustraciones, 27 ilustraciones a color) | ||
| 347 |
_atext file _bPDF |
||
| 490 | 0 |
_aCognitive Systems Monographs _x1867-4925 _v33 |
|
| 505 | 0 | _aIntroduction -- Models -- Principles for Computational Emotion -- A model of Computational Emotion -- Discussion -- Future Works. . | |
| 520 | 3 | _aThis book provides a new perspective on emotion in artificial systems. It presents an insightful explanation of how emotion might emerge deep inside the systems, and emotional behaviour could be seen as a consequence of their internal management. The final approach attempts to account for a range of events associated with emotion, from functional and behavioural features to aspects related to the dynamics and the development of feeling. The book provides a theoretical foundation for engineering and designing computational emotion as a framework for developing future adaptive systems. It includes a painstaking analysis of the rationales for the features of the final approach, including aspects from the fields of Artificial Intelligence, Psychology, the Cognitive Sciences and Model-based Systems. Synthesizing knowledge from a variety of disciplines, it ultimately presents a model conceptualization following the perspectives of Engineering and the Cognitive Sciences. | |
| 650 | 7 |
_aInteracción hombre-ordenador _2embne _9155848 |
|
| 650 | 7 |
_aInteligencia artificial _2embne _9413115 |
|
| 776 | 0 | 8 |
_iEdición impresa: _z9783319594293 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319594316 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319866239 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-59430-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 490 | 0 | _aEngineering (Springer-11647) | |
| 988 | _aEBSPRINGER_2018 | ||
| 998 |
_b03/2019 _dz _ek _feng _ggw _h0 |
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| 999 |
_c103046 _d103046 _x1 |
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