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170703 ||| eng |
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|a 9783319594309
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|a Sánchez-Escribano, M. Guadalupe
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|a Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems
|h Elektronische Ressource
|c by M. Guadalupe Sánchez-Escribano
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| 250 |
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|a 1st ed. 2018
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2018, 2018
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| 300 |
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|a XXI, 258 p. 82 illus., 27 illus. in color
|b online resource
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| 505 |
0 |
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|a Introduction -- Models -- Principles for Computational Emotion -- A model of Computational Emotion -- Discussion -- Future Works.
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Emotions
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| 653 |
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|a Emotion
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Artificial intelligence
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Cognitive Systems Monographs
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| 028 |
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|a 10.1007/978-3-319-59430-9
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| 856 |
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|u https://doi.org/10.1007/978-3-319-59430-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.3
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| 520 |
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|a This 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 CognitiveSciences
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