Decision Explanation
Decision Explanation is a computational framework that belongs to the class of explainability methods in robotics, specifically designed to clarify the rationale underlying a robot's chosen action or behavior by articulating the internal or external factors influencing its decision-making process.
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1.3K
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75
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36
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2017–2026
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Factual and Counterfactual Explanations for Black Box Decision Making
Riccardo Guidotti, Anna Monreale, Fosca Giannotti et al. · IEEE Intelligent Systems · 2019 · 331 citations · Full text
Agents that Learn to Explain Themselves
W. Lewis Johnson · 1994 · 94 citations
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Université Toulouse - Jean Jaurès
Toulouse, France
2 h-index
3 publications
58 citations
Institut Polytechnique de Bordeaux
Bordeaux, France
2 h-index
3 publications
58 citations

Université Toulouse III - Paul Sabatier
Toulouse, France
2 h-index
4 publications
88 citations
Institut de Recherche en Informatique de Toulouse
Toulouse, France
2 h-index
4 publications
88 citations
Stanford University
Stanford, United States
2 h-index
2 publications
67 citations

Université Toulouse-I-Capitole
Toulouse, France
2 h-index
3 publications
58 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
44 citations

University of Bergamo
Bergamo, Italy
1 h-index
1 publications
22 citations
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2 publications · 416 citations
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1 publications · 21 citations
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1 publications · 119 citations
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Repository · 1 publications · 17 citations
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1 publications · 17 citations
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