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Research Areas
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Strategic Interactions in Multi-agent games
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Information
Economy & Electronic Commerce
Link: Information Economy
Project @ IBM Research
Bidding Agents for Continuous
Double Auction
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Information Bundling
- C. Brooks, R. Das, J. O. Kephart, J. K. Mackie-Mason, R. Gazalle and
E. H. Durfee (2001).
Information bundling in a dynamic environment.
To appear in Proceedings of the IJCAI
Workshop on Economic Agents, Models, and Mechanisms.
- C. H. Brooks, E. Durfee and R. Das (2000).
Price Wars and Niche Discovery in a Information Economy. Proceedings
of Electronic Commerce (EC-00) (pp. 95-106). New York, NY: ACM Press.
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- J. O. Kephart, R. Das and J. K. MacKie-Mason
(2000).
Two-sided Learning in a Agent Economy for Information Bundles.
A. Moukas, C. Sierra, F. Ygge (Eds.), Agent
Mediated Electronic Commerce II (Lecture Notes in Artificial Intelligence
1788).
Berlin, Germany: Springer-Verlag.
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- C. H. Brooks, S. Fay, R. Das, J. K. MacKie-Mason, J. O. Kephart and
E. H.Durfee (1999).
Automated strategy searches in an electronic goods market: learning
and complex price schedules.
Proceedings of the
first ACM conference on Electronic commerce(EC-99) (pp. 31-40).
New York, NY: ACM Press.
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Dynamic Pricing
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Emergent Computations in
Cellular Automata:
Link: Evolving Cellular Automata
Project (EvCA) @ Santa Fe Institute
- J. P. Crutchfield, M. Mitchell and R. Das (2003).
Evolutionary Design of Collective Computation in Cellular
Automata.
J. P. Crutchfield and P. Schuster (Eds.),
Evolutionary Dynamics
New York, USA: Oxford University Press.
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- M. Mitchell, J. P. Crutchfield and R. Das (1997).
Evolving cellular automata to perform computations.
T, Bäck, D. Fogel, and Z, Michalewicz (Eds.), Handbook
of Evolutionary Computation.
Bristol, United Kingdom: Institute of Physics Publishing.
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- M. Mitchell, J. P. Crutchfield and R. Das (1996).
Evolving Cellular Automata with Genetic Algorithms: A Review of Recent
Work.
Proceedings of the First International Conference on Evolutionary Computation
and Its Applications (EvCA'96). Moscow, Russia: Russian Academy of Sciences.
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- R. Das, J. P. Crutchfield, M. Mitchell and J. E Hanson (1995).
Evolving Globally Synchronized Cellular Automata.
Proceedings of the Sixth International Conference on Genetic Algorithms
(ICGA-95) (pp 336-343). San Mateo, CA: Morgan Kaufmann.
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- R. Das, M. Mitchell and J. P. Crutchfield (1994)
A genetic algorithm discovers particle-based computation in cellular
automata.
Parallel Problem Solving from Nature Conference (PPSN-III) (pp. 244-253).
Berlin, Germany: Springer-Verlag.
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Connectionist Learning:
- S. Das and R. Das (1991).
Induction of discrete state machine by stabilizing a continuous recurrent
network using clustering.
CSI Journal of Computer Science and Informatics, Vol. 21, No. 2, pp.
35-40.
- D. Whitley, S. Dominic, R. Das and C. Anderson (1991).
Genetic algorithms, neural networks and reinforcement learning.
Proceedings of the Fourth International Conference on Genetic Algorithms
(ICGA-91) (pp. 562-569). San Mateo, CA: Morgan Kaufmann.
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Evolutionary Computation & Genetic Algorithm:
- R. Das (1995).
Evolution in Cellular Automata Rule Space.
Proceedings of the 1993 Complex System Summer School (pp. 447-457).
Reading, MA: Addison-Wesley.
- D. Whitley, S. Dominic, R. Das and C. Anderson (1993).
Genetic reinforcement learning for neurocontrol problems.
Machine Learning, Vol. 13, pp. 259-284.
- D. Whitley, R. Das and C. Crabb (1992).
Tracking primary hyperplane competitors during genetic search. Annals
of Mathematics and Artificial Intelligence, Vol. 6, pp. 367-388
- R. Das and D. Whitley (1992).
Genetic sparse distributed memory.
International Workshop on Combinations of Genetic Algorithms and Neural
Networks (COGANN), (pp. 97-107). New York, NY: IEEE Press.
- N. Karunanithi, R. Das and D. Whitley (1992).
Genetic cascade learning.
IEEE International Workshop on Combinations of Genetic Algorithms and
Neural Networks (COGANN), (pp. 134 - 145). New York, NY: IEEE Press.
- R. Das and D. Whitley (1991).
The only challenging problems are deceptive: global search by solving
order-1 hyperplanes.
Proceedings of the Fourth International Conference on Genetic Algorithms
(ICGA-91) (pp-166-173). San Mateo, CA: Morgan Kauffman.
- D. Whitley, S. Dominic, R. Das and C. Anderson (1991).
Genetic algorithms, neural networks and reinforcement learning.
Proceedings of the Fourth International Conference on Genetic Algorithms
(ICGA-91) (pp. 562-569). San Mateo, CA: Morgan Kaufmann.
- S. Dominic, D. Whitley, C. Anderson and R. Das (1991).
Genetic reinforcement learning for neural networks.
International Joint Conference on Neural Networks (IJCNN-91-Seattle)
(pp. 71-76). New York, NY: IEEE Press.
- J.D. Schaffer, R. Caruana, L. Eshelman and R. Das (1989).
A study of control parameters affecting online performance of genetic
algorithm for function optimization.
Proceedings of the Third International Conference on Genetic Algorithms
(ICGA-89) (pp. 55-61). San Mateo, CA: Morgan Kaufmann.
- R. Das and D. E. Goldberg (1988).
Discrete-time parameter estimation with genetic algorithm.
Proceedings of the 19th Annual Pittsburgh Conference on Modeling and
Simulation.
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Reinforcement Learning:
- R. Das and S. Das (1994).
Catching a baseball: A reinforcement learning perspective using a
neural network.
Proceedings of 11th National Conference on Artificial Intelligence (AAAI-94).
- S. Das and R. Das (1994).
Using reinforcement learning to catch a baseball.
Proceedings of the IEEE World Congress on Computational Intelligence
(pp. 2808 -2812). New York, NY: IEEE Press.
- D. Whitley, S. Dominic, R. Das and C. Anderson (1993).
Genetic reinforcement learning for neurocontrol problems.
Machine Learning, Vol. 13, pp. 259-284.
- D. Whitley, S. Dominic, R. Das and C. Anderson (1991).
Genetic algorithms, neural networks and reinforcement learning.
Proceedings of the Fourth International Conference on Genetic Algorithms
(ICGA-91) (pp. 562-569). San Mateo, CA: Morgan Kaufmann.
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Research Collaborators
- Charles Anderson,
Colorado State University
- James P. Crutchfield,
Santa Fe Institute
- Sreerupa Das,
University of Colorado/Avaya
- James E. Hanson, IBM T. J. Watson Research Center
- Jeffrey
O. Kephart, IBM T.J. Watson Research Center
- Melanie Mitchell,
Los Alamos National Laboratory & Santa Fe Instiute
- David J. Schaffer, Phillips Laboratories
- Sandip
Sen, University of Tulsa
- Gerald Tesauro, IBM T.J. Watson
Research Center
- L. Darrell Whitley,
Colorado State University
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