Melanie Mitchell
Melanie Mitchell is a Santa Fe Institute professor whose research examines concepts, analogy and intelligence. Her Michigan doctorate developed work on Copycat with Douglas Hofstadter, using letter puzzles to study how descriptions and analogies can change. She later directed Santa Fe’s Adaptive Computation Program and taught at Portland State University. Her books include Complexity: A Guided Tour and Artificial Intelligence: A Guide for Thinking Humans. In a 2021 paper, she examined assumptions that can make AI progress difficult to interpret. With Arseny Moskvichev and Victor Vikram Odouard, she introduced ConceptARC in 2023, a set of visual tasks designed to test related concepts. Her work helps readers examine the evidence behind claims of machine understanding.
- Now at
- Santa Fe Institute
- Works
- 155
- Citations
- 22,109
- h-index
- 47
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
1990
Copycat and the doctorate
Completed her Michigan doctorate on Copycat with Douglas Hofstadter.
-
2009
Explaining complexity
Published Complexity: A Guided Tour; the book received a science book award in 2010.
-
2019
A guide for thinking readers
Published Artificial Intelligence: A Guide for Thinking Humans.
-
2021
Examining assumptions about AI
Examined recurring assumptions about intelligence in a 2021 paper.
-
2023–present
Testing concepts directly
Coauthored ConceptARC, a benchmark of related visual concepts.
Sources and credits
Photo: Xuthoria. License: CC BY-SA 4.0. Source: commons.wikimedia.org. Cropped to a square and resized. Ask us to remove or replace this photo.
.jpg){kind=link}