Exploring Complexity in Science and Technology from a Santa Fe Institute Perspective - Faculty 2011
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Melanie Mitchell, Professor, Computer Science, Portland State University; External Professor and Science Board member, Santa Fe Institute. Melanie Mitchell received a Ph.D. in Computer Science from the University of Michigan in 1990. Since then she has held faculty or professional positions at the University of Michigan, the Santa Fe Institute, Los Alamos National Laboratory, the OGI School of Science and Engineering, and Portland State University.
Melanie has served as Director of the Santa Fe Institute’s Complex Systems Summer School; at Portland State University she teaches, among other courses, Exploring Complexity in Science and Technology.
Her major work is in the areas of analogical reasoning, complex systems, genetic algorithms and cellular automata, and her publications in those fields are frequently cited. She is the author of An Introduction to Genetic Algorithms, a widely known introductory book published by MIT Press in 1996. Her most recent book is Complexity: A Guided Tour named by Amazon.com as one of the 10 best science books of 2009.
Melanie Mitchell (Course Director), Professor, Computer Science, Portland State University; External Professor, Santa Fe Institute. Author, Complexity: A Guided Tour (Oxford).
W. Brian Arthur, Researcher, Intelligent Systems Lab, PARC; External Professor, Santa Fe Institute. Author, The Nature of Technology: What it is and How it Evolves (Simon & Schuster).
Aaron Clauset, Assistant Professor, Computer Science, University of Colorado, Boulder; former Santa Fe Institute Omidyar Fellow.
J. Doyne Farmer, Professor, Santa Fe Institute.
David Krakauer, Professor and Chair of the Faculty, Santa Fe Institute.
Uri Wilensky, Professor, Learning Sciences and Computer Science, Northwestern University; developer of the NetLogo agent-based modeling platform.