The neural cognitive architecture
Huyck, Christian R. 
ORCID: https://orcid.org/0000-0003-4015-3549
(2017)
The neural cognitive architecture.
2017 AAAI Fall Symposium Series: Technical Report FS-17.
In: AAAI 2017 FALL Symposium Series: Symposium on A Standard Models of the Mind, 09-11 Nov 2017, Arlington, Virginia, USA.
ISBN 9781577357940.
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Abstract
The development of a cognitive architecture based on neurons is currently viable. An initial architecture is proposed, and is based around a slow serial system, and a fast parallel system, with additional subsystems for behaviours such as sensing, action and language. Current technology allows us to emulate millions of neurons in real time supporting the development and use of relatively sophisticated systems based on the architecture. While knowledge of biological neural processing and learning rules, and cognitive behaviour is extensive, it is far from complete. This architecture provides a slowly varying neural structure that forms the framework for cognition and learning. It will provide support for exploring biological neural behaviour in functioning animals, and support for the development of artificial systems based on neurons.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Research Areas: | A. > School of Science and Technology > Computer Science > Artificial Intelligence group |
| Item ID: | 22926 |
| Notes on copyright: | This is the author's accepted manuscript included in this repository with permission of the publisher AAAI. The final published paper appears as: HUYCK, C.. The Neural Cognitive Architecture. AAAI Fall Symposium Series, North America, oct. 2017. Published by the Association for the Advancement of Artificial Intelligence (AAAI), available at available at: https://aaai.org/ocs/index.php/FSS/FSS17/paper/view/15954 |
| Useful Links: | |
| Depositing User: | Chris Huyck |
| Date Deposited: | 13 Nov 2017 13:17 |
| Last Modified: | 29 Nov 2022 20:23 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/22926 |
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