Abstract
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.
Original language | English (US) |
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Pages (from-to) | 873-883 |
Number of pages | 11 |
Journal | Trends in Cognitive Sciences |
Volume | 24 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2020 |
All Science Journal Classification (ASJC) codes
- Neuropsychology and Physiological Psychology
- Experimental and Cognitive Psychology
- Cognitive Neuroscience
Keywords
- artificial intelligence
- cultural evolution
- inductive bias
- meta-learning
- rational meta-reasoning