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Engineering Computational Emotion A Reference Model For Emotion In Artificial Systems Snchezescribano

  • SKU: BELL-6752152
Engineering Computational Emotion A Reference Model For Emotion In Artificial Systems Snchezescribano
$ 31.00 $ 45.00 (-31%)

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Engineering Computational Emotion A Reference Model For Emotion In Artificial Systems Snchezescribano instant download after payment.

Publisher: Springer International Publishing : Imprint: Springer
File Extension: PDF
File size: 9.18 MB
Pages: 258
Author: Sánchez-Escribano, M. Guadalupe
ISBN: 9783319594293, 9783319594309, 331959429X, 3319594303
Language: English
Year: 2018

Product desciption

Engineering Computational Emotion A Reference Model For Emotion In Artificial Systems Snchezescribano by Sánchez-escribano, M. Guadalupe 9783319594293, 9783319594309, 331959429X, 3319594303 instant download after payment.

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 Cognitive Sciences.
Abstract: 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 Cognitive Sciences

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