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.

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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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