Machine Mind Perception

Machine Mind Perception is a theoretical construct within the domain of social cognition that specifies the attribution of mental states to artificial or non-human systems, distinguishing it from mind perception directed toward humans or animals by focusing on the cognitive ascription to mechanistic agents.

8

Publications

1.9K

Citations

16

Authors

11

Institutions

Publications per year

2017–2026

4

Authors

16

  1. DB
    Daniel B. Shank

    Missouri University of Science and Technology, United States

    2 publications · 301 citations

    2

    h-index

  2. AG
    Alexander Gott

    Missouri University of Science and Technology, United States

    2 publications · 301 citations

    2

    h-index

  3. CG
    Christopher Graves

    Technical University of Denmark, Denmark

    1 publications · 273 citations

    1

    h-index

  4. NA
    Nicholas Agar

    University of New England, Australia

    1 publications · 11 citations

    1

    h-index

  5. KG
    Kurt Gray

    University of North Carolina at Chapel Hill, United States

    1 publications · 889 citations

    1

    h-index

1–5 of 16

Venues

  1. Cognition

    1 publications · 889 citations

    1

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  2. Computers in Human Behavior

    1 publications · 273 citations

    1

    h-index

  3. New Ideas in Psychology

    1 publications · 76 citations

    1

    h-index

  4. Choice Reviews Online

    CRO · 1 publications · 157 citations

    1

    h-index

  5. Data in Brief

    1 publications · 28 citations

    1

    h-index

1–5