Quantitative results concerning the utility of explanation-based learning
Artificial Intelligence
Static analysis of life and death in the game of Go
Information Sciences—Informatics and Computer Science: An International Journal
Forward pruning and other heuristic search techniques in tsume go
Information Sciences: an International Journal - Special issue on Heuristic search and computer game playing
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Artificial Intelligence
Metacognition in computation: a selected research review
Artificial Intelligence
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Knowledge-Based Systems
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ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Field review: Metacognition in computation: A selected research review
Artificial Intelligence
RSIE: a tool dedicated to reflexive systems
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Smart spaces: a metacognitive approach
GPC'11 Proceedings of the 6th international conference on Grid and Pervasive Computing
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Three main problems arise with automatically generated rules databases. They can be too large to fit in memory, they can take a lot of time to generate, and it can take time to match many generated rules on a board. I propose to use exceptions and metarules to reduce the size of the databases. The reduction in size enables larger rules to be used, at the cost of small overheads in generation and matching times. However, the reduction in search depth provided by the new larger rules decreases the overall search time of a tsumego problem solver.