Active Forgetting

Active Forgetting is a methodological framework in cognitive science and artificial intelligence that systematically removes or suppresses outdated or irrelevant information from memory or models to enhance adaptive learning and mitigate knowledge decay.

65

Publications

4.7K

Citations

224

Authors

121

Institutions

Publications per year

2017–2026

24

Authors

224

  1. YZ
    Yi Zhong

    Tsinghua University, China

    4 publications · 144 citations

    4

    h-index

  2. MC
    Michael C. Anderson

    MRC Cognition and Brain Sciences Unit, United Kingdom

    4 publications · 1.4K citations

    4

    h-index

  3. QL
    Qian Li

    Tsinghua University, China

    3 publications · 81 citations

    3

    h-index

  4. RL
    Ronald L. Davis

    Baylor College of Medicine, United States

    3 publications · 236 citations

    3

    h-index

  5. KA
    Kenneth A. Norman

    Princeton University, United States

    2 publications · 313 citations

    2

    h-index

1–5 of 224

Venues

  1. Frontiers in Psychology

    4 publications · 104 citations

    4

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 228 citations

    3

    h-index

  3. Journal of Abnormal Psychology

    2 publications · 219 citations

    2

    h-index

  4. Nature Communications

    2 publications · 79 citations

    2

    h-index

  5. Journal of Educational Psychology

    2 publications · 95 citations

    2

    h-index

1–5