TY - JOUR
T1 - Understanding Human Intelligence through Human Limitations
AU - Griffiths, Thomas L.
N1 - Funding Information:
I am grateful to have the opportunity to have many conversations about these topics with the members of the Computational Cognitive Science Laboratory at Princeton and for feedback on this article from Fred Callaway, Ishita Dasgupta, and Bill Thompson. The work described here was supported by grants from the Templeton World Charity Foundation , the Air Force Office of Scientific Research (grant number FA9550-18-1-0077 ), and the Office of Naval Research (MURI grant number N00014-13-1-0341 ). This article owes its genesis in part to a discussion at FOO Camp at which Eric Jonas asked me the question that appears in the first sentence. Outstanding Questions Outstanding Questions
Publisher Copyright:
© 2020
PY - 2020/11
Y1 - 2020/11
N2 - Recent progress in artificial intelligence provides the opportunity to ask the question of what is unique about human intelligence, but with a new comparison class. I argue that we can understand human intelligence, and the ways in which it may differ from artificial intelligence, by considering the characteristics of the kind of computational problems that human minds have to solve. I claim that these problems acquire their structure from three fundamental limitations that apply to human beings: limited time, limited computation, and limited communication. From these limitations we can derive many of the properties we associate with human intelligence, such as rapid learning, the ability to break down problems into parts, and the capacity for cumulative cultural evolution.
AB - Recent progress in artificial intelligence provides the opportunity to ask the question of what is unique about human intelligence, but with a new comparison class. I argue that we can understand human intelligence, and the ways in which it may differ from artificial intelligence, by considering the characteristics of the kind of computational problems that human minds have to solve. I claim that these problems acquire their structure from three fundamental limitations that apply to human beings: limited time, limited computation, and limited communication. From these limitations we can derive many of the properties we associate with human intelligence, such as rapid learning, the ability to break down problems into parts, and the capacity for cumulative cultural evolution.
KW - artificial intelligence
KW - cultural evolution
KW - inductive bias
KW - meta-learning
KW - rational meta-reasoning
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U2 - 10.1016/j.tics.2020.09.001
DO - 10.1016/j.tics.2020.09.001
M3 - Review article
C2 - 33041198
AN - SCOPUS:85093695034
SN - 1364-6613
VL - 24
SP - 873
EP - 883
JO - Trends in Cognitive Sciences
JF - Trends in Cognitive Sciences
IS - 11
ER -