Overview

Representation and Reasoning research described here covers topics addressed jointly with the Intelligent Systems Laboratory (ISL) and research done independently in the Computer Architecture Lab (CAL).  Some of the challenges addressed include:

1) how to more efficiently and effectively create, refine, and maintain knowledge and behavior models (ISL focus), and 2) how to optimize the operation of these models within a distributed processing environment (CAL focus).

Addressing these technology challenges remains a prerequisite to the feasibility of realistic simulations involving combined live and virtual entities at different geographic locations.  Research within the CAL has focused on Representation Scheme for Hybrid Symbolic and Sub-symbolic Processing.

Sponsors

• U.S. Army Simulation Training and Instrumentation Command (STRICOM) [Sponsor's Site] [Award Details]
• Defense Modeling and Simulation Office (DMSO) [Sponsor's Site] [Award Details]
• Naval Air Warfare Center Training Systems Division (NAWCTSD) [Sponsor's Site] [Award Details]
• Mitsubishi Research Institute [Sponsor's Site] [Award Details]
• Some sponsors co-listed with UCF Intelligent System Lab (ISL)

People

Faculty

Publications

Book Chapters

1. A. E. Henninger, A. J. Gonzalez, M. Georgiopoulos, and R. F. DeMara, “A Connectionist-Symbolic Approach to Modeling Agents: Neural Networks Grouped by Contexts,” in Lecture Notes in Computer Science, Springer Verlag, 2001, ISBN: 3-540-42379-6, pp. 198 – 209.
   [abstract] [pdf] [doc] [bibtex]

Journal Articles

1. H. Fernlund, A. J. Gonzalez, R. F. DeMara, and M. Georgiopoulos, “Learning Tactical Human Behavior through Observation of a Human Actor,” accepted to IEEE Transactions on Systems, Man and Cybernetics on June 3, 2005.
   [abstract] [pdf] [bibtex]
2. A. J. Gonzalez, W. J. Gerber, R. F. DeMara, and M. Georgiopoulos, “Context-driven Near-term Intention Recognition,” Journal of Defense Modeling and Simulation, Vol. 1, No. 3, August, 2004, pp. 153 – 170.
   [abstract] [pdf] [doc] [bibtex]

Conference Proceedings

1. A. E. Henninger, A. J. Gonzalez, M. Georgiopoulos, and R. F. DeMara, “A Connectionist-Symbolic Approach to Modeling Agents: Neural Networks Grouped by Contexts,” in Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT’01), pp. 198 – 209, Dundee Scotland, July 26 – 29, 2001.
   [abstract] [pdf] [doc] [bibtex]
2. A. E. Henninger, A. J. Gonzalez, M. Georgiopoulos, and R. F. DeMara, “Developing and Validating Human Behavioral Models through Learning By Observation,” in Proceedings of the 2001 World Multiconference on Systemics, Cybernetics and Informatics: Concepts and Applications (Part III), Orlando, FL, U.S.A., July 22 – 25, 2001.
   [abstract] [pdf] [bibtex]
3. A. E. Henninger, A. J. Gonzalez, M. Georgiopoulos, and R. F. DeMara, “The Limitations of Static Performance Metrics for Dynamic Tasks Learned Through Observation,” in Proceedings of the Tenth Conference on Computer Generated Forces and Behavioral Representation (CGF-BR’01), pp. 147 – 154, Norfolk, Virginia, U.S.A., May 14 – 17, 2001.
   [abstract] [pdf] [doc] [bibtex]
4. A. E. Henninger, A. J. Gonzalez, M. Georgiopoulos, and R. F. DeMara, “Human Performance Models for Embedded Training: A Novel Approach to Entity State Synchronization,” in Proceedings of the 2001 Advanced Simulation Technology Conference (ASTC-2001) – Symposium on Military, Government, and Aerospace Simulation, Seattle, Washington, U.S.A., April 22 – 26, 2001.
   [abstract] [pdf] [bibtex]
5. A. E. Henninger, A. J. Gonzalez, W. Gerber, M. Georgiopoulos, and R. F. DeMara, “On the Fidelity of SAFs: Can Performance Data Help?” in Proceedings of the 2000 Interservice/Industry Training, Simulation and Education Conference (I/ITSEC-2000), pp. 147 – 154, Orlando, Florida, U.S.A., November 27 – 30, 2000.
   [abstract] [pdf] [bibtex]
6. A. Gallagher, A. J. Gonzalez, and R. F. DeMara, “Modeling Platform Behaviors Under Degraded States Using Context-Based Reasoning,” in Proceedings of the 2000 Interservice/Industry Training, Simulation and Education Conference (I/ITSEC-2000), Orlando, Florida, U.S.A., November 27 – 30, 2000.
   [abstract] [pdf] [doc] [bibtex]
7. A. E. Henninger, A. J. Gonzalez and M. Georgiopoulos, and R. F. DeMara, “Modeling Semi-Automated Forces with Neural Networks: Performance Improvement through a Modular Approach,” in Proceedings of the Ninth Conference on Computer Generated Forces and Behavioral Representation (CGF-BR’00), Orlando, Florida, U.S.A., May 16 – 18, 2000.
   [abstract] [pdf] [bibtex]
8. A. E. Henninger, W. Gerber, R. F. DeMara, M. Georgiopoulos, and A. J. Gonzalez, “Behavior Modeling Framework for Embedded Simulation,” in Proceedings of the 1998 Interservice/Industry Training, Simulation and Education Conference (I/ITSEC’98), Orlando, Florida, U.S.A., November 30 – December 3, 1998.
   [abstract] [pdf] [bibtex]
9. Y. Ma and R. F. DeMara, “Localized Knowledge Representation Scheme for Parallel Processing,” in Proceedings of the Fourth Joint Conference on Information Sciences (JCIS’98), pp. 81 – 86, Research Triangle Park, North Carolina, U.S.A., October 24 – 28, 1998.
   [abstract] [pdf] [bibtex]
10. A. J. Gonzalez, M. Georgiopoulos, R. F. DeMara, A. Henninger, and W. Gerber, “Automating the CGF Model Development and Refinement Process by Observing Expert Behavior in a Simulation,” in Proceedings of the Seventh Conference on Computer Generated Forces (CGF’98), Orlando, Florida, U.S.A., May 12 – 14, 1998.
    [abstract] [pdf] [bibtex]
11. A. J. Gonzalez, R. F. DeMara, and M. Georgiopoulos, “Vehicle Model Generation and Optimization for Embedded Simulation,” in Proceedings of the 1998 Spring Simulation Interoperability Workshop (SIW’98), Orlando, Florida, U.S.A., March 9 – 13, 1998.
    [abstract] [pdf] [bibtex]
12. H. Bahr and R. F. DeMara, “A Concurrent Model Approach to Scaleable Distributed Interactive Simulation,” in Proceedings of the Fifteenth Workshop on the Interoperability of Distributed Interactive Simulation, pp. 215 – 222, Orlando, Florida, U.S.A., September 16 – 20, 1996.
    [abstract] [pdf] [bibtex]
13. R. F. DeMara and H. Kitano, “Benchmarking Performance of Massively Parallel AI Architectures,” in Proceedings of the Fourth Symposium on the Frontiers of Massively Parallel Computation, pp. 517 – 520, McLean, Virginia, U.S.A., October 19 – 21, 1992.
    [abstract] [pdf] [bibtex]