Heuristic Evaluation Functions
Heuristic Evaluation Function is a computational method in game-playing AI that estimates the expected utility of a game state by combining domain-specific knowledge with approximate rules to guide search, distinguishing it from exact evaluation techniques through its reliance on informed guessing rather than complete analysis.
211
Publications
20.6K
Citations
525
Authors
249
Institutions
Publications per year
2017–2026
49
Parents
211
Fred Glover · INFORMS Journal on Computing · 1990 · 5.6K citations
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
David Silver, Thomas Hubert, Julian Schrittwieser et al. · Science · 2018 · 3.5K citations · Full text
Filtered beam search in scheduling†
Peng Si Ow, Thomas E. Morton · International Journal of Production Research · 1988 · 386 citations
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249
Carnegie Mellon University
Pittsburgh, United States
7 h-index
11 publications
1.6K citations

University of Alberta
Edmonton, Canada
6 h-index
13 publications
763 citations
Maastricht University
Maastricht, The Netherlands
6 h-index
13 publications
474 citations

Reykjavík University
Reykjavik, Iceland
5 h-index
8 publications
1.2K citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
5 publications
382 citations
University of Iceland
Reykjavik, Iceland
4 h-index
5 publications
314 citations
Universitat de Lleida
Lleida, Spain
3 h-index
6 publications
228 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
5 publications
249 citations
1–8 of 249
6 publications · 324 citations
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Conference · 5 publications · 162 citations
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4 publications · 102 citations
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JAIR · 4 publications · 282 citations
4
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3 publications · 141 citations
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1–5