Action Representation

Action Representation is a knowledge-representation formalism that encodes the preconditions, effects, and structural properties of actions in order to support logical reasoning about change, causality, and planning in dynamic domains.

3.9K

Publications

316.2K

Citations

8.1K

Authors

1.7K

Institutions

Publications per year

2017–2026

1.5K

Authors

8.1K

  1. LP
    Leslie Pack Kaelbling

    Massachusetts Institute of Technology, United States

    24 publications · 2.7K citations

    21

    h-index

  2. YQ
    Yu Qiao

    Shenzhen Institutes of Advanced Technology, China

    22 publications · 2.7K citations

    20

    h-index

  3. MB
    Michael Beetz

    Technical University of Munich, Germany

    34 publications · 1.4K citations

    19

    h-index

  4. HJ
    Hector J. Levesque

    University of Toronto, Canada

    21 publications · 1.5K citations

    17

    h-index

  5. LF
    Li Fei-Fei

    Stanford University, United States

    19 publications · 4.2K citations

    17

    h-index

1–5 of 8.1K

Venues

  1. arXiv (Cornell University)

    Repository · 322 publications · 26K citations

    61

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 94 publications · 9.2K citations

    36

    h-index

  3. Artificial Intelligence

    47 publications · 6.1K citations

    33

    h-index

  4. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 37 publications · 9.3K citations

    32

    h-index

  5. Pattern Recognition

    56 publications · 3.4K citations

    31

    h-index

1–5