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Grounded metacognitive architectures for machine consciousness
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.
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- Published
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- Published version
Journal
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, 2019ISSN
1613-0073Publisher
RWTH Aachen UniversityPublisher URL
Page range
1-7Event name
AAAI Spring Symposium on “Towards Conscious AI Systems"Event location
Stanford, CAEvent type
workshopEvent date
March 25-27, 2019Series
CEUR Workshop Proceedings, 2287Department affiliated with
- Informatics Publications
Research groups affiliated with
- Centre for Cognitive Science Publications
- Sackler Centre for Consciousness Science Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2020-03-12First Open Access (FOA) Date
2020-03-12First Compliant Deposit (FCD) Date
2020-03-12Usage metrics
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