Grounded metacognitive architectures for machine consciousness

Chrisley, Ron (2018) Grounded metacognitive architectures for machine consciousness. AAAI Spring Symposium on “Towards Conscious AI Systems", Stanford, CA, March 25-27, 2019. Published in: Towards Conscious AI Systems: Papers of the 2019 Symposium (Association for the Advancement of Artificial Intelligence 2019 Spring Symposium Series), Stanford, CA, March 25-27, 2019. 1-7. RWTH Aachen University ISSN 1613-0073

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Abstract

Multiple approaches to machine consciousness emphasise the importance of metacognitive states and processes. A considerable num- ber of cognitive systems researchers prefer architectures that are not classically symbolic, and in which learning, rather a priori structure, is central. But it is unclear how these grounded architectures can support metacognition of the required sort. To investigate this possibility, a basic design sketch of such an architecture is presented.

Item Type: Conference Proceedings
Keywords: Metacognition, Sub-symbolic Computation, Cognitive Architecture, Symbol Grounding, Neural Networks, Machine Consciousness
Schools and Departments: School of Engineering and Informatics > Informatics
Research Centres and Groups: Centre for Cognitive Science
Sackler Centre for Consciousness Science
Depositing User: Ron Chrisley
Date Deposited: 12 Mar 2020 08:50
Last Modified: 12 Mar 2020 08:51
URI: http://sro.sussex.ac.uk/id/eprint/90354

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