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Emotions, Diffusive Emotional Control and the Motivational Problem for Autonomous Cognitive Systems

Emotions, Diffusive Emotional Control and the Motivational Problem for Autonomous Cognitive Systems

C. Gros
Copyright: © 2009 |Pages: 14
ISBN13: 9781605663548|ISBN10: 1605663549|EISBN13: 9781605663555
DOI: 10.4018/978-1-60566-354-8.ch007
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MLA

Gros, C. "Emotions, Diffusive Emotional Control and the Motivational Problem for Autonomous Cognitive Systems." Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence, edited by Jordi Vallverdú and David Casacuberta , IGI Global, 2009, pp. 119-132. https://doi.org/10.4018/978-1-60566-354-8.ch007

APA

Gros, C. (2009). Emotions, Diffusive Emotional Control and the Motivational Problem for Autonomous Cognitive Systems. In J. Vallverdú & D. Casacuberta (Eds.), Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence (pp. 119-132). IGI Global. https://doi.org/10.4018/978-1-60566-354-8.ch007

Chicago

Gros, C. "Emotions, Diffusive Emotional Control and the Motivational Problem for Autonomous Cognitive Systems." In Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence, edited by Jordi Vallverdú and David Casacuberta , 119-132. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-354-8.ch007

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Abstract

All self-active living beings need to solve the motivational problem—the question of what to do at any moment of their life. For humans and non-human animals at least two distinct layers of motivational drives are known, the primary needs for survival and the emotional drives leading to a wide range of sophisticated strategies, such as explorative learning and socializing. Part of the emotional layer of drives has universal facets, being beneficial in an extended range of environmental settings. Emotions are triggered in the brain by the release of neuromodulators, which are, at the same time, are the agents for meta-learning. This intrinsic relation between emotions, meta-learning and universal action strategies suggests a central importance for emotional control for the design of artificial intelligences and synthetic cognitive systems. An implementation of this concept is proposed in terms of a dense and homogeneous associative network (dHan).

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