Towards an Affective Computational Model for Machine Consciousness
Resource type
Book Section
Authors/contributors
- Liu, Derong (Editor)
- Xie, Shengli (Editor)
- Li, Yuanqing (Editor)
- Zhao, Dongbin (Editor)
- El-Alfy, El-Sayed M. (Editor)
- Chandra, Rohitash (Author)
Title
Towards an Affective Computational Model for Machine Consciousness
Abstract
In the past, computational models for machine consciousness have been proposed with varying degrees of challenges for implementation. Affective computing focuses on the development of systems that can simulate, recognize, and process human affects which refer to the experience of feeling or emotion. The affective attributes are important factors for the future of machine consciousness with the rise of technologies that can assist humans and also build trustworthy relationships between humans and artificial systems. In this paper, an affective computational model for machine consciousnesses with a system of management of the major features. Real-world scenarios are presented to further illustrate the functionality of the model and provide a road-map for computational implementation.
Book Title
Neural Information Processing
Volume
10638
Place
Cham
Publisher
Springer International Publishing
Date
2017
Pages
897-907
Language
en
ISBN
978-3-319-70138-7 978-3-319-70139-4
Accessed
3/7/25, 7:58 AM
Library Catalog
DOI.org (Crossref)
Extra
Series Title: Lecture Notes in Computer Science
DOI: 10.1007/978-3-319-70139-4_91
Citation
Chandra, R. (2017). Towards an Affective Computational Model for Machine Consciousness. In D. Liu, S. Xie, Y. Li, D. Zhao, & E.-S. M. El-Alfy (Eds.), Neural Information Processing (Vol. 10638, pp. 897–907). Springer International Publishing. https://doi.org/10.1007/978-3-319-70139-4_91
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