Case-by-Case Problem Solving

Authors
Pei Wang
Corresponding Author
Pei Wang
Available Online June 2009.
DOI
https://doi.org/10.2991/agi.2009.43How to use a DOI?
Abstract
Case-by-case Problem Solving solves each occurrence, or case, of a problem using available knowledge and resources on the case. It is different from the traditional Algorithmic Problem Solving, which applies the same algorithm to all occurrences of all problem instances. Case-by-case Prob- lem Solving is suitable for situations where the system has no applicable algorithm for a problem. This approach gives the system flexibility, originality, and scalability, at the cost of predictability. This paper introduces the basic notion of Case-by-case Problem Solving, as well as its most recent im- plementation in NARS, an AGI project.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
Proceedings of the 2nd Conference on Artificiel General Intelligence (2009)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2009
ISBN
978-90-78677-24-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/agi.2009.43How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Pei Wang
PY  - 2009/06
DA  - 2009/06
TI  - Case-by-Case Problem Solving
BT  - Proceedings of the 2nd Conference on Artificiel General Intelligence (2009)
PB  - Atlantis Press
SP  - 200
EP  - 205
SN  - 1951-6851
UR  - https://doi.org/10.2991/agi.2009.43
DO  - https://doi.org/10.2991/agi.2009.43
ID  - Wang2009/06
ER  -