State Space Search

State Space Search is a computational problem-solving paradigm within algorithmic design that systematically explores the set of all possible configurations (states) of a problem instance, distinguished by its use of recursive traversal and pruning strategies to identify valid solutions among the states.

367

Publications

19.1K

Citations

753

Authors

324

Institutions

Publications per year

2017–2026

58

Authors

753

  1. RC
    Robert C. Holte

    University of Alberta, Canada

    11 publications · 514 citations

    11

    h-index

  2. AF
    Ariel Felner

    Ben-Gurion University of the Negev, Israel

    10 publications · 396 citations

    10

    h-index

  3. MH
    Malte Helmert

    University of Basel, Switzerland

    9 publications · 262 citations

    9

    h-index

  4. JS
    Jonathan Schaeffer

    University of Alberta, Canada

    9 publications · 452 citations

    9

    h-index

  5. LW
    Lingfeng Wang

    University of Wisconsin–Milwaukee, United States

    7 publications · 159 citations

    7

    h-index

1–5 of 753

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 14 publications · 376 citations

    12

    h-index

  2. 11

    h-index

  3. Artificial Intelligence

    10 publications · 414 citations

    10

    h-index

  4. Journal of Artificial Intelligence Research

    JAIR · 8 publications · 2.3K citations

    8

    h-index

  5. arXiv (Cornell University)

    Repository · 7 publications · 345 citations

    7

    h-index

1–5