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2017 | OriginalPaper | Chapter

Towards an Affective Computational Model for Machine Consciousness

Author : Rohitash Chandra

Published in: Neural Information Processing

Publisher: Springer International Publishing

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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.

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Metadata
Title
Towards an Affective Computational Model for Machine Consciousness
Author
Rohitash Chandra
Copyright Year
2017
Book
Neural Information Processing

Print ISBN: 978-3-319-70138-7

Electronic ISBN: 978-3-319-70139-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-70139-4_91

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