Symbolic Modeling

Symbolic Modeling is a formal representational framework that employs symbolic systems to abstract, structure, and manipulate knowledge or processes within a defined domain, distinguishing itself by its reliance on explicit, rule-based, and interpretable symbolic expressions to model cognitive, computational, or phenomenological phenomena.

334

Publications

21.6K

Citations

739

Authors

364

Institutions

Publications per year

2017–2026

65

Authors

739

  1. JS
    Jude Shavlik

    University of Wisconsin–Madison, United States

    6 publications · 681 citations

    6

    h-index

  2. PT
    Paulo Tabuada

    University of California, Los Angeles, United States

    5 publications · 653 citations

    5

    h-index

  3. MR
    Matthew Rocklin

    University of Moratuwa, Sri Lanka

    4 publications · 1.8K citations

    4

    h-index

  4. JB
    Joshua B. Tenenbaum

    Massachusetts Institute of Technology, United States

    4 publications · 463 citations

    4

    h-index

  5. CT
    Carolyn Talcott

    SRI International, United States

    4 publications · 108 citations

    4

    h-index

1–5 of 739

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 693 citations

    10

    h-index

  2. Cognitive Science

    6 publications · 1.1K citations

    6

    h-index

  3. Journal of Symbolic Computation

    4 publications · 123 citations

    4

    h-index

  4. 4

    h-index

  5. Child Development

    4 publications · 312 citations

    4

    h-index

1–5