Adaptive Heuristic Selection
Adaptive Heuristic Selection is a decision-making framework that, as a subclass of bounded rationality models, dynamically chooses among available heuristics based on environmental cues and performance feedback to optimize behavior under cognitive and informational constraints.
22
Publications
1.1K
Citations
68
Authors
43
Institutions
Publications per year
2017–2026
7
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43

University of Nottingham
Nottingham, United Kingdom
2 h-index
4 publications
122 citations
Max Planck Institute for Human Development
Berlin, Germany
2 h-index
3 publications
72 citations
Tinbergen Institute
Rotterdam, The Netherlands
1 h-index
2 publications
108 citations

Universidad de Granada
Granada, Spain
1 h-index
2 publications
72 citations
University of Antwerp
Antwerp, Belgium
1 h-index
1 publications
79 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
2 publications
108 citations

Northwestern Polytechnical University
Xi'an, China
1 h-index
2 publications
34 citations

City, University of London
London, United Kingdom
1 h-index
2 publications
50 citations
1–8 of 43
2 publications · 61 citations
2
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1 publications · 79 citations
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1 publications · 26 citations
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Conference · 1 publications · 22 citations
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1 publications · 79 citations
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