Case-by-Case Problem Solving
Available Online June 2009.
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- 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.
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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 -