Agent Explainability
Agent Explainability is a methodological framework within intelligent agent research that enables the transparent interpretation of an agent’s decision-making processes by generating human-understandable justifications for its actions, distinguishing it from opaque or black-box agent behaviors.
87
Publications
4.7K
Citations
247
Authors
114
Institutions
Publications per year
2017–2026
64
Parents
87
Too much, too little, or just right? Ways explanations impact end users' mental models
Todd Kulesza, Simone Stumpf, Margaret Burnett et al. · 2013 · 367 citations
Explainable Agents and Robots: Results from a Systematic Literature Review
Sule Anjomshoae, Amro Najjar, Davide Calvaresi et al. · 2019 · 219 citations · Full text
Automated rationale generation
Upol Ehsan, Pradyumna Tambwekar, Larry Chan et al. · 2019 · 201 citations · Full text
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114
Oregon State University
Corvallis, United States
6 h-index
52 publications
2.8K citations
Arizona State University
Tempe, United States
5 h-index
16 publications
781 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
7 publications
174 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
13 publications
1.4K citations
Technion – Israel Institute of Technology
Haifa, Israel
3 h-index
3 publications
105 citations

Bar-Ilan University
Ramat Gan, Israel
2 h-index
2 publications
32 citations

HES-SO University of Applied Sciences and Arts Western Switzerland
Delémont, Switzerland
2 h-index
2 publications
274 citations
University of Kentucky
Lexington, United States
2 h-index
2 publications
245 citations
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Repository · 6 publications · 207 citations
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TIIS · 3 publications · 102 citations
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3 publications · 180 citations
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Conference · 3 publications · 197 citations
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2 publications · 73 citations
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