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.

24

Publications

1.3K

Citations

75

Authors

36

Institutions

Publications per year

2017–2026

15

Authors

75

  1. EH
    Edward H. Shortliffe

    Stanford University, United States

    2 publications · 67 citations

    2

    h-index

  2. CJ
    Chun Jason Xue

    City University of Hong Kong, Hong Kong SAR China

    1 publications · 20 citations

    1

    h-index

  3. FG
    Fosca Giannotti

    University of Pisa, Italy

    1 publications · 331 citations

    1

    h-index

  4. MN
    Mehdi Nayebpour

    George Mason University, United States

    1 publications · 14 citations

    1

    h-index

  5. PS
    Patrizia Scandurra

    University of Bergamo, Italy

    1 publications · 22 citations

    1

    h-index

1–5 of 75

Venues

  1. IEEE Intelligent Systems

    2 publications · 416 citations

    2

    h-index

  2. Journal of Automated Reasoning

    1 publications · 21 citations

    1

    h-index

  3. Computational Intelligence

    1 publications · 119 citations

    1

    h-index

  4. VUBIR (Vrije Universiteit Brussel)

    Repository · 1 publications · 17 citations

    1

    h-index

  5. NOVEL A Forum on Fiction

    1 publications · 17 citations

    1

    h-index

1–5