Dynamic Hypothesis Formation

Dynamic Hypothesis Formation is a systematic method within system dynamics that generates testable conjectures about the causal structures underlying complex system behaviors through iterative refinement of feedback loops and temporal patterns.

5

Publications

212

Citations

24

Authors

6

Institutions

Publications per year

2017–2026

1

Authors

24

  1. PE
    Paul E. Smaldino

    University of California, Merced, United States

    1 publications · 132 citations

    1

    h-index

  2. AB
    Andrew Brown

    Deakin University, Australia

    1 publications · 36 citations

    1

    h-index

  3. JH
    Joshua Hayward

    Deakin University, Australia

    1 publications · 36 citations

    1

    h-index

  4. ND
    Nicholas D. Lange

    Birkbeck, University of London, United Kingdom

    1 publications · 10 citations

    1

    h-index

  5. PF
    Penny Fraser

    Deakin University, Australia

    1 publications · 36 citations

    1

    h-index

1–5 of 24

Venues

  1. PLoS ONE

    1 publications · 132 citations

    1

    h-index

  2. Chemical Biology & Drug Design

    1 publications · 17 citations

    1

    h-index

  3. Cognitive Systems Research

    1 publications · 10 citations

    1

    h-index

  4. American Journal of Preventive Medicine

    1 publications · 36 citations

    1

    h-index

  5. System Dynamics Review

    1 publications · 17 citations

    1

    h-index

1–5