Research Interests
My main interest is in the study of biological evolution as a
computational process. Primarily, this involves exploring the use
of search algorithms based on biological evolution (i.e. stochastic
hill-climbing using a population) in computer science, but with an eye
toward observing the behavior of such algorithms to inform the study
of biological evolution itself.
More specifically, I'm investigating:
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How we can get artificial evolution to shape not only objective
properties of solutions, but also the range of variations that
occur when promising solutions are mutated or otherwise stochastically
perturbed.
In other words, how the process of generating new candidate solutions
may evolve to become increasingly well-tuned to the target search space,
potentially opening up otherwise intractable search spaces as well as
providing for inter-task transfer of search effort.
I'm studying this phenomenon in conjunction with . . .
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Applying evolutionary
search to interesting, difficult-to-approach-otherwise problems,
the principal example of which is the training of artificial neural networks with recurrent connections
to solve reinforcement-learning-style problems of challenging scale
that require retention of state information.
Less specifically, I'm interested in many aspects of machine learning,
optimization, artificial intelligence, and both computing and biology
in general.
Publications
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M. Glickman and K. Sycara, "Evolutionary Search, Stochastic Policies
with Memory, and Reinforcement Learning with Hidden State". To appear
in Proceedings of the Eighteenth International Conference on Machine
Learning.
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M. Glickman and K. Sycara, "Evolvability and Static vs. Dynamic Fitness".
In C.C. Maley, ed., Workshop Proceedings of Artificial Life VII,
August, 2000.
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M. Glickman and K. Sycara, "Reasons for Premature Convergence of
Self-Adapting Mutation Rates".
In A. Zalzala et al (eds.),
Proceedings of the 2000 Congress on Evolutionary Computation.
IEEE Press, 2000.
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M. Glickman and K. Sycara, "Comparing Mechanisms for Evolving Evolvability".
In A. Wu, ed., Proceedings of 1999 Genetic and Evolutionary
Computation Conference Workshop Program, July, 1999.
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M. Glickman and K. Sycara, "Evolution of Goal-Directed
Behavior from Limited Information in a Complex Environment.".
In Banzhaf, W., Daida, J., Eiben, A. E., Garzon, M. H.,
Honavar, V., Jakiela, M., & Smith, R. E. (eds.), GECCO-99:
Proceedings of the Genetic and Evolutionary Computation Conference,
July 13-17, 1999,
Orlando, Florida. San Francisco, CA: Morgan Kaufmann.
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M. Glickman and K. Sycara, "Evolutionary Algorithms: Exploring the Dynamics
of Self-Adaptation". In
Koza, J.R., Banzhaf, W., Chellapilla, K. Deb, K.,
Dorigo, M., Fogel, D.B., Garzon, M.H., Goldberg, D.E,
Iba, H. & Riolo, R. (eds.), Genetic Programming 1998:
Proceedings of the Third Annual Conference , pages 762-769, University
of Wisconsin, Madison, Wisconsin, USA, 22-25 July 1998. San Francisco,
CA: Morgan Kaufmann.
