Engineering computational emotion : a reference model for emotion in artificial systems
- 作者： Sanchez-Escribano, M. Guadalupe, author.
- 其他作者：
- 其他題名：
- Cognitive systems monographs ;
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： Cognitive systems monographs,volume 33
- 主題： Human-computer interaction. , Human engineering. , Robotics. , Engineering. , Computational Intelligence. , Artificial Intelligence (incl. Robotics) , Emotion.
- ISBN： 9783319594309 (electronic bk.) 、 9783319594293 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: Introduction -- Models -- Principles for Computational Emotion -- A model of Computational Emotion -- Discussion -- Future Works.
- 摘要註: 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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讀者標籤：
- 系統號： 005418983 | 機讀編目格式
館藏資訊
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.