Huyck, C.

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

ISBN
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
Hardcover	9781577357940
Publisher	Association for the Advancement of Artificial Intelligence (AAAI)
Publication dates
Online	09 Nov 2017
Print	01 Dec 2017
Publication process dates
Deposited	13 Nov 2017
Accepted	01 Sep 2017
Output status	Published
Accepted author manuscript	neuroCogArch.pdf
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

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