Proceedings of the 2nd Conference on Artificial General Intelligence (2009)

Why BICA is Necessary for AGI

Authors
Alexei V. Samsonovich
Corresponding Author
Alexei V. Samsonovich
Available Online June 2009.
DOI
10.2991/agi.2009.23How to use a DOI?
Keywords
cognitive architectures, self-regulated learning, human-level intelligence, scaffolding, critical mass
Abstract

The challenge of creating AGI is better understood in the context of recent studies of biologically inspired cognitive architectures (BICA). While the solution is still far away, promising ideas can be derived from biological inspirations. The notions of a chain reaction, its critical mass and scaling laws prove to be helpful in understanding the conditions for a self-sustained bootstrapped cognitive growth of artifacts. Empirical identification of the critical mass of intelligence is possible using the BICA framework and scalability criteria.

Copyright
© 2009, 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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Volume Title
Proceedings of the 2nd Conference on Artificial General Intelligence (2009)
Series
Advances in Intelligent Systems Research
Publication Date
June 2009
ISBN
978-90-78677-24-6
ISSN
1951-6851
DOI
10.2991/agi.2009.23How to use a DOI?
Copyright
© 2009, 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/).

Cite this article

TY  - CONF
AU  - Alexei V. Samsonovich
PY  - 2009/06
DA  - 2009/06
TI  - Why BICA is Necessary for AGI
BT  - Proceedings of the 2nd Conference on Artificial General Intelligence (2009)
PB  - Atlantis Press
SP  - 100
EP  - 101
SN  - 1951-6851
UR  - https://doi.org/10.2991/agi.2009.23
DO  - 10.2991/agi.2009.23
ID  - Samsonovich2009/06
ER  -