Abstraction Heuristics

Abstraction Heuristics is a heuristic function derived from a simplified model of the original problem space by suppressing certain details, thereby enabling more efficient search through the use of approximate solutions grounded in reduced state representations.

62

Publications

3.4K

Citations

101

Authors

63

Institutions

Publications per year

2017–2026

12

Authors

101

  1. MH
    Malte Helmert

    University of Basel, Switzerland

    14 publications · 1.2K citations

    13

    h-index

  2. MK
    Michael Katz

    Technion – Israel Institute of Technology, Israel

    9 publications · 294 citations

    9

    h-index

  3. CD
    Carmel Domshlak

    Technion – Israel Institute of Technology, Israel

    8 publications · 655 citations

    8

    h-index

  4. JS
    Jendrik Seipp

    University of Basel, Switzerland

    6 publications · 175 citations

    6

    h-index

  5. ÁT
    Álvaro Torralba

    Saarland University, Germany

    4 publications · 69 citations

    4

    h-index

1–5 of 101

Venues

  1. 8

    h-index

  2. Journal of Artificial Intelligence Research

    JAIR · 6 publications · 228 citations

    6

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 141 citations

    6

    h-index

  4. 5

    h-index

  5. Artificial Intelligence

    3 publications · 226 citations

    3

    h-index

1–5