artificial intelligence lab

intelligent systems for real world problems!

 

selected publications...

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2002
  • Piotr J. Gmytrasiewicz, Matthew Summers and Dhruva Gopal; "Toward Automated Evolution of Agent Communication Languages" postscript format , pdf format , Proceedings of the 35th Hawaii International Conference on System Sciences, HICSS-35, January, 2002.

  • Chiu-CHe Tseng and Piotr J. Gmytrasiewicz; "Real time decision support systems for portfolio management" pdf format , MS Word format , Proceedings of the 35th Hawaii International Conference on System Sciences, HICSS-35, January, 2002.

  • Prashant Doshi, Lloyd Greenwald, John Clarke, "Context-Driven Methods for Detecting and Correcting Errors in Large Databases", Submitted to FLAIRS-UR 2002. Under Review.

2001
  • Sanguk Noh and Piotr J. Gmytrasiewicz, Identifying the Scope of Modeling for Time-Critical Multiagent Decision-Making, In Proceedings of the 17th International Joint Conference on Artificial Intelligence, pages 1043-1048, Seattlle, Washington, August 2001. (Acceptance rate 24%)

  • Tseng C.C., Gmytrasiewicz P.J. and Ching C., "Refining Influence Diagram For Stock Portfolio Selection", Seventh International Conference of the Society for Computational Economics, June 28-29, 2001

  • Tseng C.C. and Gmytrasiewicz P.J. "A Real Time Investment Decision Support System", IASTED ASC2001, May 21-24,2001

  • Sanguk Noh and Piotr J. Gmytrasiewicz, Identifying the Scope of Modeling for Time-Critical Multiagent Decision-Making, In Proceedings of the 17th International Joint Conference on Artificial Intelligence, pages 1043-1048, Seattlle, Washington, August 2001. (Acceptance rate 24%) Sanguk Noh and Piotr J. Gmytrasiewicz, Identifying the Scope of Modeling in Multi-Agent Settings, In poster presentation at the Fifth International Conference on Autonomous Agents, Montreal, Canada, May 2001.

  • Prashant Doshi, Lloyd Greenwald, John Clarke, "On Retaining Intermediate Probabilistic Models When Building Bayesian Networks" , Accepted for participation in AAAI 2001 Fall Symposium, Using Uncertainty Within Programming.

  • John Clarke, Stanley Trooskin, Prashant Doshi, Lloyd Greenwald, Charles Mode, "Time To Laparatomy for Intra-Abdominal Bleeding From Trauma does affect Survival for Delays upto 90 minutes ", Journal of Americal Assoc. of Surgery in Trauma, 2001.

2000

1999 1998
  • Sanguk Noh and Piotr J. Gmytrasiewicz, Rational Communicative Behavior in Anti-Air Defense, In Proceedings of the Third International Conference on Multi-Agent Systems, pages 214-221, IEEE Computer Society, July 1998.

  • Piotr J. Gmytrasiewicz, Sanguk Noh, and Tad Kellog, Bayesian Update of Recursive Agent Models, An International Journal of User Modeling and User-Adapted Interaction, Volume 8, Issue 1/2, pages 49-69, Kluwer Academic Publishers, 1998.

  • Chiu-Che Tseng and Piotr J. Gmytrasiewicz, Decision Support Information Gathering, Proceedings of the Eleventh Florida Artificial Intelligence Research Symposium Conference, AAAI Press, 1998.

  • Sanguk Noh and Piotr J. Gmytrasiewicz, Coordination and Belief Update in a Distributed Anti-Air Environment, In Proceedings of the 31st Hawaii International Conference on System Sciences, Vol. V, pages 142-151, Los Alamitos, CA: IEEE Computer Society, Jan 1998.
    * This paper was nominated for best paper of the Modeling Technologies and Intelligent Systems Track.

1997 1996 1995 1994
  • Dillenburg, J.F. and Nelson, P.C., Perimeter Search, Artificial Intelligence 65 (1994): 165-178. (Postscript version ~437 KB)

1993

UIC AI Lab Technical Report Series:

  • UIC-AIL-TR01.ps - Computational modeling of biological motifs using local search based alignment techniques; specific application to transcription factor modeling. Software is available.

  • UIC-AIL-TR02.ps - Biological tree motifs. Probabilistic trees are investigated for their ability to model biological motifs. Software is available.

  • UIC-AIL-TR03.ps - An Application of Bagging for Reducing Run-Time Complexity. Problems which use algorithms of high complexity and have large amounts of data suffer from excessive run-times. Frequently, such problems may be un-computable all together. This paper describes a novel application of bagging which allows one to solve such problems in a greatly reduced amount of time while retaining an accurate (and frequently better) solution. Software is available.

  • UIC-AIL-TR04.ps - Ensembles of Latent Semantic Classifiers. Bagging is a popular ensemble learning method which has its roots in statistics. Its application for solving complex problems with large data sizes is described in UIC-AIL-TR03. Here, that method is applied to training latent semantic classifiers to achieve tremendous savings in run-time and memory usage. Software is available.

  • UIC-AIL-TR05.ps - A Framework for Sequential Planning in Multiagent Settings. A novel framework for optimal sequential decision-making in multiagents settings is introduced. Properties, and preliminary results using the multiagent tiger game are also presented in the report.