Melanie Mitchell is an American scientist. She is the Davis Professor of Complexity at the Santa Fe Institute. Her major work has been in the areas of analogical reasoning, complex systems, genetic algorithms and cellular automata, and her publications in those fields are frequently cited.[2]
Melanie Mitchell | |
|---|---|
| Born | Los Angeles, California, US |
| Alma mater | Brown University University of Michigan |
| Awards | Phi Beta Kappa Award in Science (2010) |
| Scientific career | |
| Fields | Complex systems Genetic algorithms |
| Institutions | University of Michigan Santa Fe Institute Los Alamos National Laboratory OGI School of Science and Engineering Portland State University |
| Thesis | Copycat: A Computer Model of High-Level Perception and Conceptual Slippage in Analogy-Making (1990) |
| Doctoral advisor | Douglas Hofstadter and John Holland |
| Relatives | Jonathan Mitchell (brother)[1] |
She received her PhD in 1990 from the University of Michigan under Douglas Hofstadter and John Holland, for which she developed the Copycat cognitive architecture. She is the author of "Analogy-Making as Perception", essentially a book about Copycat. She has also critiqued Stephen Wolfram's A New Kind of Science[3] and showed that genetic algorithms could find better solutions to the majority problem for one-dimensional cellular automata. She is the author of An Introduction to Genetic Algorithms, a widely known introductory book published by MIT Press in 1996. She is also author of Complexity: A Guided Tour (Oxford University Press, 2009), which won the 2010 Phi Beta Kappa Science Book Award, and Artificial Intelligence: A Guide for Thinking Humans (Farrar, Straus, and Giroux).
Life
editMelanie Mitchell was born and raised in Los Angeles, California.[4] She attended Brown University in Providence, Rhode Island, where she studied physics, astronomy and mathematics. Her interest in artificial intelligence was spurred in college when she read Douglas Hofstadter's Gödel, Escher, Bach.
After graduating, she worked as a high school math teacher in New York City. Deciding she "needed to be" in artificial intelligence, Mitchell tracked down Douglas Hofstadter, repeatedly asking to become one of his graduate students. After finding Hofstadter's phone number at MIT, a determined Mitchell made several calls, all of which went unanswered. She was ultimately successful in reaching Hofstadter after calling at 11 p.m., and secured an internship working on the development of Copycat.[5]
In the fall of 1984, Mitchell followed Hofstadter to the University of Michigan, submitting a "last minute" application to the university's doctoral program.[6] She earned her Ph.D. in 1990 with the dissertation Copycat: A Computer Model of High-Level Perception and Conceptual Slippage in Analogy-Making.
Career
editMitchell is a Professor at the Santa Fe Institute and Portland State University. Mitchell developed the Complexity Explorer platform for the Santa Fe Institute, which offers online courses. More than 25.000 students took Mitchell's course "Introduction to Complexity".[7] In 2018, Barbara Grosz, Dawn Song and Melanie Mitchell organised the workshop "On Crashing the Barrier of Meaning in AI".[8] She features regularly as guest expert in the Learning Salon, an online interdisciplinary meeting about biological and artificial intelligence.[9]
Awards
editIn 2020, Mitchell received the Herbert A. Simon Award.[10]
Views
editWhile expressing strong support for AI research, Mitchell has expressed concern about AI's vulnerability to hacking as well as its ability to inherit social biases. On artificial general intelligence, Mitchell said in 2019 that "commonsense knowledge" and "humanlike abilities for abstraction and analogy making" might constitute the final step required to build superintelligent machines, but that current technology was not close to being able to solve this current problem.[11] Mitchell believes that humanlike visual intelligence would require "general knowledge, abstraction, and language", and hypothesizes that visual understanding may have to be learned as an embodied agent rather than merely viewing pictures.[12]
Selected publications
editBooks
edit- Mitchell, Melanie (1993). Analogy-Making as Perception. ISBN 0-262-13289-3.
- Mitchell, Melanie (1998). An Introduction to Genetic Algorithms. Cambridge, Massachusetts, US: MIT Press. ISBN 0-262-63185-7.
- Mitchell, Melanie (2009). Complexity: A Guided Tour. Oxford, UK: Oxford University Press. ISBN 978-0-19-512441-5.
- Mitchell, Melanie (October 15, 2019). Artificial Intelligence: A Guide for Thinking Humans (First ed.). Farrar, Straus and Giroux. ISBN 978-0374257835.
Articles
edit- Mitchell, M., Holland, J. H., and Forrest, S. (1994). "When will a genetic algorithm outperform hill climbing?". Advances in Neural Information Processing Systems. 6: 51–58.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - Melanie Mitchell, Peter T. Hraber, and James P. Crutchfield (1993). "Revisiting the edge of chaos: Evolving cellular automata to perform computations" (PDF). Complex Systems. 7: 89–130. arXiv:adap-org/9303003. Bibcode:1993adap.org..3003M.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - Cowan, George; David Pines; David Elliott Meltzer (1999). Complexity : metaphors, models, and reality. Cambridge, Massachusetts, US: Perseus Books. pp. 731. ISBN 978-0738202327.
References
edit- ^ Mitchell, Melanie (September 1, 2011). Complexity: A Guided Tour. Oxford University Press. pp. xvi. ISBN 978-0199798100. Retrieved November 6, 2018.
- ^ Google Scholar search for Melanie Mitchell
- ^ Mitchell, Melanie (October 4, 2002). "IS the Universe a Universal Computer?" (PDF). Science (www.sciencemag.org). pp. 65–68. Retrieved March 23, 2013.
- ^ "Catalyzing Computing Podcast Episode 15 - Interview with Melanie Mitchell Part 1" (PDF). Computing Community Consortium.
- ^ Mills, Kevin. "Melanie Mitchell Introduction" (PDF).
- ^ Magazine, John Pavlus, Quanta. "The Computer Scientist Training AI to Think with Analogies". Scientific American. Retrieved December 2, 2021.
{{cite web}}: CS1 maint: multiple names: authors list (link) - ^ "Santa Fe Institute profile: Melanie Mitchell". Retrieved May 2, 2023.
- ^ "On Crashing the Barrier of Meaning in AI; AI Magazine, 41(2), 2020, 86–92" (PDF). Retrieved May 2, 2023.
- ^ "The Learning Salon". Retrieved May 2, 2023.
- ^ "Portland State University, Department of Computer Science: Professor Melanie Mitchell receives Herbert A. Simon Award". Retrieved May 2, 2023.
- ^ "Fears about robot overlords are (perhaps) premature". Christian Science Monitor. October 25, 2019. Retrieved May 10, 2020.
- ^ "What Is Computer Vision?". PCMAG. February 9, 2020. Retrieved May 10, 2020.
External links
edit- Mitchell's professional homepage at the Santa Fe Institute
- BrainInspired podcast 022 Melanie Mitchell: Complexity, and AI Shortcomings
- Lex Fridman Podcast #61 Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI
- Machine Learning Street Talk #57 Prof. Melanie Mitchell: Why AI is harder than we think
- Melanie Mitchell publications indexed by Google Scholar