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

Authors

525

  1. YB
    Yngvi Björnsson

    Reykjavík University, Iceland

    4 publications · 531 citations

    4

    h-index

  2. DS
    David Silver

    Google DeepMind (United Kingdom), United Kingdom

    4 publications · 4.8K citations

    4

    h-index

  3. MH
    Mark H. M. Winands

    Maastricht University, Netherlands

    4 publications · 144 citations

    4

    h-index

  4. RE
    Richard E. Korf

    University of California, Los Angeles, United States

    3 publications · 257 citations

    3

    h-index

  5. IB
    Ivan Bratko

    University of Ljubljana, Slovenia

    3 publications · 46 citations

    3

    h-index

1–5 of 525

Venues

  1. 6

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 162 citations

    5

    h-index

  3. Universal Access in the Information Society

    4 publications · 102 citations

    4

    h-index

  4. Journal of Artificial Intelligence Research

    JAIR · 4 publications · 282 citations

    4

    h-index

  5. 3

    h-index

1–5