The neural cognitive architecture
Conference paper
Huyck, C. 2017. The neural cognitive architecture. AAAI 2017 FALL Symposium Series: Symposium on A Standard Models of the Mind. Arlington, Virginia, USA 09 - 11 Nov 2017 Association for the Advancement of Artificial Intelligence (AAAI). pp. 365-370
Type | Conference paper |
---|---|
Title | The neural cognitive architecture |
Authors | Huyck, C. |
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. |
Research Group | Artificial Intelligence group |
Conference | AAAI 2017 FALL Symposium Series: Symposium on A Standard Models of the Mind |
Page range | 365-370 |
ISBN | |
Hardcover | 9781577357940 |
Publisher | Association for the Advancement of Artificial Intelligence (AAAI) |
Publication dates | |
Online | 09 Nov 2017 |
01 Dec 2017 | |
Publication process dates | |
Deposited | 13 Nov 2017 |
Accepted | 01 Sep 2017 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | 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 |
Web address (URL) | https://aaai.org/ocs/index.php/FSS/FSS17/paper/view/15954 |
Language | English |
Book title | 2017 AAAI Fall Symposium Series: Technical Report FS-17 |
https://repository.mdx.ac.uk/item/874xz
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