Sketch of an AGI architecture with illustration

DOI

10.2991/agi.2010.40How to use a DOI?

Abstract

Here we present a framework for AGI inspired by knowledge about the only working prototype: the brain. We consider the neurobiological findings as directives. The main algorithmic modules are de¯ned and solutions for each subtasks are given together with the available mathematical (hard) constraints. The main themes are compressed sensing, factor learning, independent process analysis and low dimensional embedding for optimal state representation to be used by a particular RL system that can be integrated with a robust controller. However, the blending of the suggested partial solutions is not a straightforward task. Nevertheless we start to combine these modules and illustrate their working on a simulated problem. We will discuss the steps needed to complete the integration.

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/).

Download article (PDF)

TY  - CONF
AU  - Andreas Lorincz
AU  - Zoltan R. Bardosi
AU  - Daniel Takacs
PY  - 2010/06
DA  - 2010/06
TI  - Sketch of an AGI architecture with illustration
BT  - Proceedings of the 3d Conference on Artificial General Intelligence (2010)
PB  - Atlantis Press
SP  - 188
EP  - 193
SN  - 1951-6851
UR  - https://doi.org/10.2991/agi.2010.40
DO  - 10.2991/agi.2010.40
ID  - Lorincz2010/06
ER  -