A role for consciousness in action selection

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Abstract

This paper argues that conscious attention exists not so much for selecting an immediate action as for focusing learning of the action-selection mechanisms and predictive models on tasks and environmental contingencies likely to affect the conscious agent. It is perfectly possible to build this sort of system into machine intelligence, but it is not strictly necessary unless the intelligence needs to learn and is resource-bounded with respect to the rate of learning vs. the rate of relevant environmental change. Support of this theory is drawn from scientific research and AI simulations, and a few consequences are suggested with respect to self consciousness and ethical obligations to and for AI.
Original languageEnglish
Pages15-20
Number of pages6
Publication statusPublished - Apr 2011
EventProceedings of the AISB 2011 Symposium: Machine Consciousness - University of York, UK United Kingdom
Duration: 6 Apr 20117 Apr 2011

Conference

ConferenceProceedings of the AISB 2011 Symposium: Machine Consciousness
CountryUK United Kingdom
CityUniversity of York
Period6/04/117/04/11

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Bryson, J. J. (2011). A role for consciousness in action selection. 15-20. Paper presented at Proceedings of the AISB 2011 Symposium: Machine Consciousness, University of York, UK United Kingdom.