£75.84

Springer Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems: 33 (Cognitive Systems Monographs, 33)

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£78.85 £72.97 £74.25 £75.53 £76.82 £78.10 £79.38 25 January 2026 04 February 2026 15 February 2026 25 February 2026 08 March 2026

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18 days 1 day · current 24 days 0 6 12 18 24 £74 £76 £79 Days at Price

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Most common price: £79 (24 days, 55.8%)

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Price levels: 3 different prices over 43 days

Description

Product Description 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. From the Back Cover 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.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
12 May 2018
Listed Since
03 July 2018

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