Rule-based Behavior Planning

Rule-Based Behavior Planning is a behavior planning paradigm that belongs to the class of decision-making frameworks in which actions are determined through the application of predefined logical rules, distinguished by its reliance on explicit, hand-crafted condition-action statements to govern agent behavior in response to environmental states.

5

Publications

468

Citations

10

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

10

  1. NP
    Nils Plath

    Technische Universität Berlin, Germany

    1 publications · 48 citations

    1

    h-index

  2. SJ
    S J Tanenbaum

    The Ohio State University, United States

    1 publications · 81 citations

    1

    h-index

  3. MC
    Marilyn C. Welsh

    University of Northern Colorado, United States

    1 publications · 146 citations

    1

    h-index

  4. NJ
    Nikolay Jetchev

    Technische Universität Berlin, Germany

    1 publications · 48 citations

    1

    h-index

  5. AI
    Aleksandr I. Panov

    Russian Academy of Sciences, Russia

    1 publications · 21 citations

    1

    h-index

1–5 of 10

Venues

  1. Academic Medicine

    1 publications · 81 citations

    1

    h-index

  2. Proceedings of the IEEE

    1 publications · 172 citations

    1

    h-index

  3. Biologically Inspired Cognitive Architectures

    1 publications · 21 citations

    1

    h-index

  4. Cognitive Development

    1 publications · 146 citations

    1

    h-index

1–4