Theory Solving

Theory Solving is a formal method within automated reasoning that determines the satisfiability of logical formulas with respect to a background theory by combining decision procedures for specific theories with general logical inference mechanisms.

44

Publications

7.2K

Citations

72

Authors

43

Institutions

Publications per year

2017–2026

5

Authors

72

  1. CD
    Claire Dross

    Université Paris-Sud, France

    2 publications · 31 citations

    2

    h-index

  2. AP
    Andrei Paskevich

    Université Paris-Sud, France

    2 publications · 31 citations

    2

    h-index

  3. DK
    Donald Kalish

    University of California, Los Angeles, United States

    2 publications · 251 citations

    2

    h-index

  4. AN
    Allen Newell

    Carnegie Mellon University, United States

    1 publications · 233 citations

    2

    h-index

  5. JS
    James Shaw

    Columbia University, United States

    1 publications · 233 citations

    2

    h-index

1–5 of 72

Venues

  1. Journal of Automated Reasoning

    2 publications · 54 citations

    2

    h-index

  2. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 2 publications · 360 citations

    2

    h-index

  3. Artificial Intelligence

    2 publications · 4.1K citations

    2

    h-index

  4. International Joint Conference on Artificial Intelligence

    Conference · 2 publications · 44 citations

    2

    h-index

  5. Information Systems Journal

    ISJ · 1 publications · 33 citations

    1

    h-index

1–5