Adaptive Logic Models

Adaptive Logic Models is a dynamic framework within program evaluation and systems thinking that iteratively refines its structure and assumptions in response to feedback, learning, and contextual changes, thereby distinguishing it from static logic models through its capacity for real-time adaptation and recursive validation.

70

Publications

3K

Citations

153

Authors

78

Institutions

Publications per year

2017–2026

13

Authors

153

  1. DB
    Diderik Batens

    Ghent University, Belgium

    8 publications · 395 citations

    8

    h-index

  2. AK
    A. Kostov

    University of Alberta, Canada

    4 publications · 169 citations

    4

    h-index

  3. WW
    William W. Armstrong

    University of Alberta, Canada

    3 publications · 156 citations

    3

    h-index

  4. IA
    Igor Aleksander

    Imperial College London, United Kingdom

    3 publications · 41 citations

    3

    h-index

  5. WP
    Witold Pedrycz

    University of Alberta, Canada

    3 publications · 61 citations

    3

    h-index

1–5 of 153

Venues

  1. Logic and Logical Philosophy

    3 publications · 92 citations

    3

    h-index

  2. Logic Journal of IGPL

    3 publications · 38 citations

    3

    h-index

  3. 2

    h-index

  4. Studia Logica

    2 publications · 22 citations

    2

    h-index

  5. Electronics Letters

    2 publications · 22 citations

    2

    h-index

1–5