Inference Rules

Inference Rules is a formal schema within a deductive system that specifies valid patterns of logical consequence, distinguishing itself by enabling the derivation of conclusions from premises in a truth-preserving manner according to precisely defined syntactic or semantic criteria.

881

Publications

60.7K

Citations

1.8K

Authors

738

Institutions

Publications per year

2017–2026

89

Variants

Rules Of Inference

Authors

1.8K

  1. VV
    Vladimir V. Rybakov

    Manchester Metropolitan University, United Kingdom

    8 publications · 337 citations

    8

    h-index

  2. JC
    John C. Mitchell

    Stanford University, United States

    8 publications · 831 citations

    8

    h-index

  3. PN
    P. N. Johnson‐Laird

    Princeton University, United States

    7 publications · 402 citations

    7

    h-index

  4. DM
    Dale Miller

    University of Pennsylvania, United States

    7 publications · 320 citations

    7

    h-index

  5. HP
    Henry Prakken

    Utrecht University, Netherlands

    7 publications · 1.1K citations

    7

    h-index

1–5 of 1.8K

Venues

  1. Journal of Symbolic Logic

    18 publications · 1.1K citations

    17

    h-index

  2. Electronic Notes in Theoretical Computer Science

    ENTCS · 13 publications · 633 citations

    11

    h-index

  3. IEEE Transactions on Fuzzy Systems

    TFS · 11 publications · 986 citations

    11

    h-index

  4. Journal of Logic and Computation

    11 publications · 245 citations

    10

    h-index

  5. Fuzzy Sets and Systems

    8 publications · 256 citations

    8

    h-index

1–5