Education
Ph.D. 1990, Computer Science, University of Michigan
Research Interests
Intelligent systems, machine learning, and complex systems. Evolutionary computation and artificial life. Understanding how natural systems perform computation, and how to use ideas from natural systems to develop new kinds of computational systems. Cognitive science, particularly computer modeling of perception and analogy-making, emergent computation and representation, and philosophical foundations of cognitive science.
Selected Publications
N. Williams M. and Mitchell, "Investigating the success of spatial coevolutionary learning," in H. G. Beyer et al. (editors), Proceedings of the 2005 Genetic and Evolutionary Computation Conference, GECCO-2005, New York: ACM Press, 523-530, 2005.
M. Mitchell, "Self-awareness and control in decentralized systems," in Working Papers of the AAAI 2005 Spring Symposium on Metacognition in Computation, Menlo Park, CA: AAAI Press, 2005.
L. Pagie and M. Mitchell, "A comparison of evolutionary and coevolutionary search," International Journal of Computational Intelligence and Applications, 2(1), 53-69, 2002.
M. Mitchell, "Analogy-making as a complex adaptive system," in L. Segel and I. Cohen (editors), Design Principles for the Immune System and Other Distributed Autonomous Systems, New York: Oxford University Press, 2001.
M. Mitchell, "A complex-systems perspective on the "computation vs. dynamics" debate in cognitive science," In M. A. Gernsbacher and S. J. Derry (eds.), Proceedings of the 20th Annual Conference of the Cognitive Science Society -- Cogsci98, 710-715, 1998.
M. Mitchell, An Introduction to Genetic Algorithms, Cambridge, MA: MIT Press, 1996.
M. Mitchell, Analogy-Making as Perception: A Computer Model, 1993.
Melanie Mitchell 