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
Parents
70
Ingo Ruczinski, Charles Kooperberg, Michael LeBlanc · Journal of Computational and Graphical Statistics · 2003 · 274 citations
A Universal Logic Approach to Adaptive Logics
Diderik Batens · Logica Universalis · 2007 · 148 citations
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78

University of Alberta
Edmonton, Canada
10 h-index
24 publications
1.2K citations

Ghent University
Ghent, Belgium
10 h-index
12 publications
350 citations

Ghent University Hospital
Ghent, Belgium
7 h-index
10 publications
258 citations
Aalborg University
Aalborg, Denmark
3 h-index
5 publications
173 citations
Systems Research Institute
Warsaw, Poland
2 h-index
2 publications
47 citations

Polish Academy of Sciences
Warsaw, Poland
2 h-index
2 publications
47 citations
Arizona State University
Tempe, United States
2 h-index
6 publications
636 citations
Queen Mary University of London
London, United Kingdom
2 h-index
2 publications
30 citations
1–8 of 78
3 publications · 92 citations
3
h-index
3 publications · 38 citations
3
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HFES · 2 publications · 129 citations
2
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2 publications · 22 citations
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2 publications · 22 citations
2
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1–5