English

Understanding Human Intelligence through Human Limitations

Artificial Intelligence 2020-09-30 v1 Machine Learning

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.

Keywords

Cite

@article{arxiv.2009.14050,
  title  = {Understanding Human Intelligence through Human Limitations},
  author = {Thomas L. Griffiths},
  journal= {arXiv preprint arXiv:2009.14050},
  year   = {2020}
}

Comments

In press at Trends in Cognitive Sciences

R2 v1 2026-06-23T18:52:50.984Z