Proceedings of the 3d Conference on Artificial General Intelligence (2010)

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Compression-Driven Progress in Science

Authors
Leo Pape
Corresponding Author
Leo Pape
Available Online June 2010.
DOI
10.2991/agi.2010.12How to use a DOI?
Abstract

The construction of an artificial scientist, a machine that discovers and describes the general rules governing a variety of complex environments, can be considered an important challenge for artificial general intelligence. Recently, a computational framework for scientific investigation has been postulated in the theory of compression-driven progress. Here, I propose an implementation of an artificial scientist based on the compression principle, and explore the possibilities and challenges for its application in scientific research.

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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Volume Title
Proceedings of the 3d Conference on Artificial General Intelligence (2010)
Series
Advances in Intelligent Systems Research
Publication Date
June 2010
ISBN
978-90-78677-36-9
ISSN
1951-6851
DOI
10.2991/agi.2010.12How to use a DOI?
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/).

Cite this article

risenwbib
TY  - CONF
AU  - Leo Pape
PY  - 2010/06
DA  - 2010/06
TI  - Compression-Driven Progress in Science
BT  - Proceedings of the 3d Conference on Artificial General Intelligence (2010)
PB  - Atlantis Press
SP  - 55
EP  - 56
SN  - 1951-6851
UR  - https://doi.org/10.2991/agi.2010.12
DO  - 10.2991/agi.2010.12
ID  - Pape2010/06
ER  -