Sequential Action Selection

Sequential Action Selection is a computational decision-making framework within action selection that specifically governs the selection of actions in a temporally ordered sequence, distinguishing itself by explicitly accounting for the dependencies and interactions between successive actions to achieve a long-term goal.

80

Publications

4.1K

Citations

269

Authors

128

Institutions

Publications per year

2017–2026

26

Authors

269

  1. RC
    Richard Cooper

    Birkbeck, University of London, United Kingdom

    5 publications · 614 citations

    6

    h-index

  2. DM
    Denis Mareschal

    Birkbeck, University of London, United Kingdom

    3 publications · 99 citations

    3

    h-index

  3. GS
    Gregor Schöner

    Ruhr University Bochum, Germany

    2 publications · 98 citations

    2

    h-index

  4. BH
    Bernhard Hommel

    Leiden University, Netherlands

    2 publications · 68 citations

    2

    h-index

  5. NR
    Nicolas Ruh

    Oxford Brookes University, United Kingdom

    2 publications · 80 citations

    2

    h-index

1–5 of 269

Venues

  1. Journal of Neuroscience

    4 publications · 221 citations

    4

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 229 citations

    3

    h-index

  3. 3

    h-index

  4. Psychological Science

    2 publications · 125 citations

    2

    h-index

  5. PLoS Computational Biology

    2 publications · 87 citations

    2

    h-index

1–5