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Dynamic probability, computer chess, and the measurement of knowledge
In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley.
An experiment on inductive learning in chess end games.
In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley.
Inference and knowledge in language comprehension.
In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley.
Representation and understanding of text
In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley.
The efficiency of the alpha-beta search on trees with branch-dependent terminal node scores
Artificial Intelligence 8:137-153.
A Chess Combination Program Which Uses Plans
The program analyses carefully the initial situation. It creates some plans and tries to execute them. It analyses the situations deeper in the tree only if the plan fails. In that case it generates new plans correcting what is wrong in the old one. So, the program considers only natural branches of the tree. It can find combinations for which it is necessary to look more than twenty ply ahead. The paper describes the methods used for analyzing a situation and for modifying unsuccessful plans. Then we examine some results found by the program.Artificial Intelligence 8 (1977), 275-321
Maximum likelihood from incomplete data via the EM algorithm
Dempster, A. P., Laird, N., Rubin, D.
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