Essays and Book Reviews
Mitchell, M. (2025) Jagged Intelligence: The dangerous unknowns at the heart of LLMs. The Yale Review, Summer Issue, 2026. article
Mitchell, M. (2025). Forward to S. Risi, Y. Tang, D. Ha, and R. Miikkulainen, Neuroevolution: Harnessing Creativity in AI Agent Design. MIT Press.
Mitchell, M. (2025). Why AI chatbots lie to us. Science, July 24, 2025.
Mitchell, M. (2025). Review of "These Strange New Minds" by Christopher Summerfield. Times Literary Supplement, May 16, 2025.
Mitchell, M. (2025). Artificial Intelligence Learns to Reason, Science, March 20, 2025.
Mitchell, M. (2024) The Metaphors of Artificial Intelligence, Science, November 14, 2024.
Mitchell, M. (2024). The Turing Test and Our Shifting Conceptions of Intelligence, Science, August 15, 2024.
Mitchell, M. (2024). Debates on the Nature of Artificial General Intelligence, Science, March 21, 2024.
Mitchell, M. (2023). AI's Challenge of Understanding the World, Science, November 10, 2023.
Mitchell, M. (2023). How Do We Know How Smart AI Systems Are?, Science, July 13, 2023.
Mitchell, M. (2022). What Does It Mean to Align AI With Human Values? Quanta, December, 2022.
Mitchell, M. (2021). What Does It Mean for AI to Understand? Quanta, December, 2021.
Flack, J. and Mitchell, M. (2020). Uncertain Times, Aeon, August, 2020.
Mitchell, M. (2020). Can GPT-3 Make Analogies? Medium, August, 2020.
Mitchell, M. (2020). How the Analogies We Live By Shape Our Thoughts, Transmissions, Santa Fe Institute, April, 2020.
Mitchell, M. (2019). Can a Computer Ever Learn to Talk?, OneZero, November, 2019.
Mitchell, M. (2019). We Shouldn’t be Scared by 'Superintelligent A.I.', New York Times, November, 2019.
Mitchell, M. (2019). Blade Runner is set in November 2019, but what does it say about our future?, The Big Issue, November, 2019.
Mitchell, M. (2019). AI Can Pass Standardized Tests --- But It Would Fail Preschool, Wired.
Mitchell, M. (2019). How do you teach a car that a snowman won’t walk across the road?, Aeon.
Mitchell, M. (2018). Artificial Intelligence Hits the Barrier of Meaning, New York Times, November, 2018.
Forrest, S. and Mitchell,M. (2016) Adaptive computation: The multidisciplinary legacy of John H. Holland. Communications of the ACM, 59(8), 58-63.
Mitchell, M. (2014). How Can the Study of Complexity Transform Our Understanding of the World?. In Big Questions Online.
Mitchell, M. (2010) Biological
computation. In ACM Ubiquity Symposium on "What is Computation?"
Mitchell, M. (2008) Five questions.
In C. Gershenson (editor), Complexity: 5 Questions. Automatic Press
Mitchell, M. (2003). Review of "Conceptual
Coordination: How the Mind Orders Experience in Time" by William
J. Clancey. Contemporary Psychology, 48 (3).
Mitchell, M. (2002). Review
of "A New Kind of Science" by Stephen Wolfram.
Science, 298, 65--68.
Mitchell, M. (1999).
Can Evolution Explain
How the Mind Works? A Review of the Evolutionary Psychology Debates.
Complexity , 3 (3), 17-24.
Mitchell, M. (1998). Review of "Handbook of
Genetic Algorithms" by Lawrence Davis. Artificial
Intelligence, 100 (1-2), 325-330.
Mitchell, M. (1997).
Review of "Figments of Reality"
by Ian Stewart and Jack Cohen. New Scientist, August 11, 1997.
Mitchell, M. (1997). Review of "Darwin's Dangerous
Idea" by Daniel Dennett. Complexity, 2 (1), 32--26.
Mitchell, M. (1995). Review of "Out of
Control: The Rise of Neo-Biological Civilization" by Kevin Kelly.
Technology Review, October, 1995.
Mitchell, M. (1993). Computer Models of Adaptive Complex
Systems. New Scientist, February 13, 1993.
Mitchell, M. (1991).
Review of "The Dreams of Reason: The Computer and the Rise
of the Sciences of Complexity" by Heinz Pagels. In Bulletin of the
Santa Fe Institute, 6 (1).
Mitchell, M. (1985). Artificial Intelligence and the Popular Press. Popular Computing, January, 1985.