Machine Understanding
Machine Understanding is a theoretical construct in the philosophy of artificial intelligence that characterizes the capacity of a computational system to represent, reason about, and derive meaning from information in a manner functionally analogous to human cognitive comprehension.
199
Publications
15.8K
Citations
390
Authors
188
Institutions
Publications per year
2017–2026
69
199
Mind as machine: a history of cognitive science
Choice Reviews Online · 2007 · 749 citations
Abductive inference: computation, philosophy, technology
Choice Reviews Online · 1995 · 494 citations
Constructive Interaction and the Iterative Process of Understanding
Naomi Miyake · Cognitive Science · 1986 · 425 citations
Arts, Design, Design Thinking +13
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188
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
8 publications
857 citations
Microsoft (United States)
Redmond, United States
4 h-index
6 publications
303 citations
Stanford University
Stanford, United States
4 h-index
4 publications
303 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
11 publications
475 citations
University of Chicago
Chicago, United States
4 h-index
8 publications
290 citations

Imperial College London
London, United Kingdom
4 h-index
4 publications
318 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
3 publications
109 citations

Peking University
Beijing, China
3 h-index
6 publications
121 citations
1–8 of 188
CRO · 8 publications · 1.8K citations
8
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Repository · 8 publications · 121 citations
8
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4 publications · 248 citations
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3 publications · 252 citations
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3 publications · 102 citations
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