Melanie Mitchell

Melanie Mitchell is a researcher, educator, and award-winning author with unique expertise in artificial intelligence, cognitive science, genetic algorithms and complex systems.

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Artificial Intelligence: A Guide for Thinking Humans is the new book by Melanie Mitchell that brims with captivating, and approachable accounts of the most interesting and provocative modern work in AI. Flavored with Mitchell’s humor and personal observations this frank, lively book will prove an indispensable guide to understanding modern-day artificial intelligence.

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Melanie is well-known for her work on analogy-making, in particular for the development of the Copycat computer model of analogy. More recently she has been extending this work to create AI systems that make sophisticated visual analogies.

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She founded Santa Fe Institute’s online education platform, Complexity Explorer.  Professor Mitchell’s online course, “Introduction to Complexity”, has been taken by over 25,000 students, and is one of Course Central’s “top fifty online courses of all time”. She is also a prominent researcher on genetic algorithms, and is the author of a highly cited textbook, An Introduction to Genetic Algorithms.

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Melanie is renowned for her teaching and writing on science and technology; her essays and reviews in the fields of artificial intelligence, cognitive science, and complex systems have appeared in the New York Times, Science Magazine, New Scientist, and Technological Review. Her general-audience book, Complexity: A Guided Tour, won the 2010 Phi Beta Kappa Science Book Award, and was named by Amazon.com as #3 on its 10 best science books of 2009.