# The Measure of Intelligence & ARC dataset

**URL:** https://discourse.numenta.org/t/the-measure-of-intelligence-arc-dataset/6785
**Category:** Lounge
**Created:** [November 6, 2019, 6:33pm UTC](https://discourse.numenta.org/t/the-measure-of-intelligence-arc-dataset/6785 "2019-11-06T18:33:47Z")
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### Author: ![mpihlstrom](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.numenta.org/mpihlstrom/32/6239_2.png) [@mpihlstrom](https://discourse.numenta.org/u/mpihlstrom)
#### Post date: [November 10, 2019, 6:39am UTC](https://discourse.numenta.org/t/the-measure-of-intelligence-arc-dataset/6785/3 "2019-11-10T06:39:33Z")

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Chollet suggests relating system priors to the human priors of “Core Knowledge”, i.e, what basically amounts to the Gestalt psychology-like principles generally captured by IQ tests. Around these principles, he has developed a machine-friendly IQ test, the Abstraction and Reasoning Corpus. Alongside the notion of priors he introduces some termninology such as skill-acquisition and curriculum and formally grounds this in algorithmic information theory in order to arrive at a (perhaps tentative) defintiion and measure of intelligence. This is all to serve as a guiding lantern, not a final word.

This paper is, if nothing else, a good survey on the history of artificial intelligence.

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