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.
%0 Book
%1 SanchezEscribano17
%A Sánchez-Escribano, M. Guadalupe
%B Cognitive Systems Monographs
%C Cham
%D 2017
%I Springer
%K 01801 103 springer book ai cognitive science emotion adaptive system engineering architecture
%R 10.1007/978-3-319-59430-9
%T Engineering Computational Emotion -- A Reference Model for Emotion in Artificial Systems
%V 33
%X 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.
%@ 978-3-319-59429-3
@book{SanchezEscribano17,
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.},
added-at = {2017-12-15T20:05:39.000+0100},
address = {Cham},
author = {S{\'a}nchez-Escribano, M. Guadalupe},
biburl = {https://www.bibsonomy.org/bibtex/228e8dd96c93de4484f4915163b7df389/flint63},
doi = {10.1007/978-3-319-59430-9},
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groups = {public},
interhash = {2059c7addb95c8fd303d814b8f3e5f77},
intrahash = {28e8dd96c93de4484f4915163b7df389},
isbn = {978-3-319-59429-3},
issn = {1867-4925},
keywords = {01801 103 springer book ai cognitive science emotion adaptive system engineering architecture},
publisher = {Springer},
series = {Cognitive Systems Monographs},
timestamp = {2018-04-16T12:15:44.000+0200},
title = {Engineering Computational Emotion -- A Reference Model for Emotion in Artificial Systems},
username = {flint63},
volume = 33,
year = 2017
}