Publications

Book Chapters

• 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.
  [postscript 6084Kb] [gzip'd postscript 1031Kb]
  
  
• 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.
  [postscript 7707Kb] [pdf 1104Kb]
  
  
• 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.
  [postscript 2259Kb] [gzip'd postscript 397Kb]
  
  
• D. Whitley, S. Dominic, R. Das and C. Anderson (1993).
  Genetic reinforcement learning for neurocontrol problems.
  J. J. Grefenstette (Ed.), Genetic Algorithms for Machine Learning.
  Boston, MA: Kluwer Academic Publishers.
  

Refereed Journal Publications

• C. Brooks, R. Gazalle, R. Das, J. O. Kephart, J. K. MacKie-Mason and E. H. Durfee (2002).
  Model Selection in an Information Economy: Choosing What to Learn
  Computational Intelligence, Special issue on Agent Technology for Electronic Commerce, Vol. 18, pp. 566-582.
  [gzip'd postscript 1480Kb] [pdf 505Kb]
  
  
• 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.
  
  
• 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.
  

Refereed Conference & Workshop Proceedings

• W. E. Walsh, R. Das, G. Tesauro and J. O. Kephart (2002).
  Analyzing Complex Strategic Interactions in Multi-Agent Games
  To appear in Game Theoretic and Decision Theoretic Agents Workshop , at AAAI-02, Edmonton, Canada, 2002.
  [gzip'd Postscript 2231Kb] [pdf 1962Kb]
  
  
• R. Das, J. E. Hanson, J. O. Kephart and G. Tesauro (2001).
  Agent-Human Interactions in the Continuous Double Auction.
  To appear in Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI), San Francisco, CA: Morgan-Kaufmann.
  [postscript 1015Kb] [gzip'd postscript 355Kb] [pdf 210Kb]
  
  
• G. Tesauro and R. Das (2001).
  High-Performance Bidding Agents for the Continuous Double Auction.
  To appear in Proceedings of the IJCAI Workshop on Economic Agents, Models, and Mechanisms.
  [postscript 1458Kb] [gzip'd postscript 454Kb] [pdf 517Kb]
  
  
• 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. 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 7th International Conference of the Society for Computational Economics. Yale University.
  
  
• P. Dasgupta and R. Das (2000).
  Dynamic Service Pricing for Brokers in a Multi-Agent Economy.
  IEEE 4th International Conference on Multi-agent Systems (ICMAS) (pp. 375-376). Los Alamitos, CA: IEEE Computer Society.
  [postscript 2513Kb] [pdf 493Kb]
  
  
• 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.
  [postscript 1467Kb] [gzip'd postscript 422Kb] [pdf763Kb]
  
  
• P. Dasgupta and R. Das (2000).
  Dynamic Pricing with Limited Competitor Information in a Multi-Agent Economy.
  Lecture Notes in Computer Science, 1901 (Proceedings of the 7th International Conference on Cooperative Systems, COOPIS) (pp. 299-310). New York, NY: Springer-Verlag.
  [postscript 2513Kb] [pdf 922Kb]
  
  
• 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.
  [postscript 4178Kb] [pdf 1598Kb]
  
  
• 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.
  [postscript 2064Kb] [gzip'd postscript 377Kb]
  
  
• S. Das and R. Das (1996).
  Learning a robust strategy to catch a fly ball.
  Proceedings of the International Conference on Software Engineering.
  
  
• 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.
  [postscript 380Kb] [gzip'd postscript 86Kb]
  
  
• 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).
  
  
• 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.
  [Postscript] [Pdf]
  
  
• 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.
  
  
• S. Das and R. Das (1994).
  Learning to catch a baseball: A reinforcement learning perspective. Proceedings of the International Conference on Neural Networks.
  
  
• R. Das (1995).
  Evolution in Cellular Automata Rule Space.
  Proceedings of the 1993 Complex System Summer School (pp. 447-457). Reading, MA: Addison-Wesley.
  
  
• 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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