Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Health & Well Being, Psychology, Emotions, General Computing
Cover of the book Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems by M. Guadalupe Sánchez-Escribano, Springer International Publishing
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Author: M. Guadalupe Sánchez-Escribano ISBN: 9783319594309
Publisher: Springer International Publishing Publication: June 17, 2017
Imprint: Springer Language: English
Author: M. Guadalupe Sánchez-Escribano
ISBN: 9783319594309
Publisher: Springer International Publishing
Publication: June 17, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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