Melanie Mitchell

Dr. Melanie Mitchell is a Professor at the Santa Fe Institute and an expert inartificial intelligence(AI), cognitive science, and complex systems. Her research focuses on conceptual abstraction, analogy-making, and visual recognition in AI systems. She has also contributed significantly to understanding complex systems and evolutionary computation.

Dr. Mitchell has held various academic positions, including at the Oregon Graduate Institute, Portland State University, andSanta Fe Institute, where she serves as a Professor and Inaugural Fractal Faculty member. She founded the Complexity Explorer platform, which offers educational resources on complex systems, with her course "Introduction to Complexity" enrolling over 25,000 students.

She has authored six books and numerous scholarly articles. Notable works includeComplexity: A Guided Tour, which won the 2010 Phi Beta Kappa Science Book Award, andArtificial Intelligence: A Guide for Thinking Humans, shortlisted for the 2023 Cosmos Prize for Scientific Writing. Her bookAn Introduction to Genetic Algorithmsis widely cited in the field.

Dr. Mitchell has received the Herbert A. Simon Award, the Senior Scientific Award from the Complex Systems Society, and the Distinguished Cognitive Scientist Award from UC Merced. She has also participated in workshops and discussions onAI ethics, human-like reasoning, and social bias in AI.

Born and raised in Los Angeles, California, Dr. Mitchell earned her undergraduate degree in mathematics from Brown University. Her interest in AI was sparked during college after reading Douglas Hofstadter’sGödel, Escher, Bach. She later pursued her Ph.D. at the University of Michigan under the supervision of Hofstadter and John Holland, developing the Copycat cognitive architecture for analogy-making.