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/).
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 -