A Cognitive Architecture for Knowledge Exploitation

DOI

10.2991/agi.2010.35How to use a DOI?

Abstract

A cognitive architecture specifies a computational infrastructure that defines the various regions/functions working as a whole to produce human-like intelligence [1]. It also defines the main connectivity and information flow between various regions/functions. These functions and the connectivity between them in turn facilitate and provide implementation specifications for a variety of algorithms. Drawing inspirations from Computational Science, Neuroscience and Psychology, a top-level cognitive architecture which models the information processing in human brain is developed. Three key design principles [2] inspired by the brain “Hierarchical Structure, Distributed Memory and Parallelism“ are incorporated into the architecture. A prototype cognitive system is developed and it is able to bring to bear different types of knowledge to solve a problem. It has been applied to object recognition in images. The cognitive system is able to exploit bottom up perceptual information, top down contextual knowledge and visual feedback in a way similar to how human utilizes different knowledge to recognize objects in images.

Copyright

© 2010, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - G.W. Ng
AU  - Y.S. Tan
AU  - L.N. Teow
AU  - K.H. Ng
AU  - K.H. Tan
AU  - R.Z. Chan
PY  - 2010/06
DA  - 2010/06
TI  - A Cognitive Architecture for Knowledge Exploitation
BT  - Proceedings of the 3d Conference on Artificial General Intelligence (2010)
PB  - Atlantis Press
SP  - 162
EP  - 167
SN  - 1951-6851
UR  - https://doi.org/10.2991/agi.2010.35
DO  - 10.2991/agi.2010.35
ID  - Ng2010/06
ER  -