Selected Publications of Diana (Gordon) Spears
- Zarzhitsky, D., Spears, D., and Spears, W. (2005)
Distributed robotics approach to chemical plume tracing.
In Proceedings of the IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS'05).
- PDF
- Zarzhitsky and D., Spears, D. (2005)
Swarm approach to chemical source localization.
In Proceedings of the IEEE International
Conference on Systems, Man, and Cybernetics (SMC'05).
- Zarzhitsky, D., Spears, D., and Spears, W. (2005)
Swarms for chemical plume tracing. In Proceedings of the
IEEE Swarm Intelligence Symposium (SIS'05).
- PDF
- Spears, W., Spears, D., and Zarzhitsky, D. (Invited, 2005)
Physicomimetics positioning methodology for distributed autonomous
systems. In GOMACTech-05 Intelligent Technologies.
- PDF
- Spears, D., Zarzhitsky, D., and Thayer, D. (Invited, 2005)
Multi-robot chemical plume tracing.
Third International Workshop on Multi-Robot Systems.
- Zarzhitsky, D., Spears, D., Thayer, D., and Spears, W. (2004)
Agent-based chemical plume tracing using fluid dynamics.
Lecture Notes in Computer Science, Volume 3228, Springer Verlag.
- PDF
- Zarzhitsky, D., Spears, D., Thayer, D. and Spears, W. (2004)
A fluid dynamics approach to multi-robot chemical plume tracing.
Proceedings of the Third International Joint Conference on
Autonomous Agents and Multi-Agent Systems (AAMAS'04).
- Spears, D., Kerr, W., and Spears, W. (2007)
Fluid-like swarms with predictable macroscopic behavior.
Lecture Notes in Computer Science, Volume 4324.
- PDF
- Spears, D., Kerr, W., and Spears, W. (2006)
Physics-based robot swarms for coverage problems.
International Journal on Intelligent Control and Systems, 11(3).
- PDF
- Spears, W., Hamann, J., Maxim, P., Kunkel, P., Zarzhitsky, D., Spears, D., and Karlsson, C. (2006)
Where are you? In Proceedings of the SAB Swarm Robotics Workshop.
- PDF
- Kerr, W. and Spears, D. (2005)
Robotic simulation of gases for a surveillance task.
In Proceedings of the IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS'05).
- PDF
- Spears, W., Spears, D., Hamann, J., and Heil, R. (2004)
Distributed, physics-based control of swarms of vehicles.
Autonomous Robots 17 (2-3)
- PDF
- Spears, W., Spears, D., Heil, R., and Kerr, W. (2004)
An overview of physicomimetics. In E. Sahin and W. Spears (Eds.),
Lecture Notes in Computer Science, State-of-the-Art Series.
- PDF
- Spears, W., Heil, R., Spears, D., and Zarzhitsky, D. (2004)
Physicomimetics for mobile robot formations.
Proceedings of the Third International Joint Conference on
Autonomous Agents and Multi-Agent Systems (AAMAS'04).
- PDF
- Kerr, W., Spears, D., Spears, W., and Thayer, D. (2004)
Two formal fluids models for multiagent sweeping and obstacle avoidance.
Lecture Notes in Computer Science, Volume 3228, Springer Verlag.
- PDF
- Spears, W., Spears, D., and Heil, R. (2004)
A formal analysis of potential energy in a multiagent system.
Lecture Notes in Computer Science, Volume 3228, Springer Verlag.
- PDF
- Gordon-Spears, D. and Spears, W. (2003)
Analysis of a phase transition in a physics-based multiagent system.
Lecture Notes in Computer Science, Volume 2699. Springer-Verlag.
- Postscript
- PDF
- Kellogg, J., Bovais, C., Dahlburg, J., Foch, R., Gardner, J.,
Gordon, D., Hartley, R., Kamgar-Parsi, B., McFarlane, H., Pipitone, F.,
Ramamurti, R., Sciambi, A., Spears, W., Srull, D., and Sullivan, C. (2002).
The NRL micro tactical expendable (mite) air vehicle.
The Aeronautical Journal 106(1062), pp.431-441.
- Kellogg, J., Bovais, C., Dahlburg, J., Foch, R., Gardner, J.,
Gordon, D., Hartley, R., Kamgar-Parsi, B., McFarlane, H., Pipitone, F.,
Ramamurti, R., Sciambi, A., Spears, W., Srull, D., and Sullivan, C. (2001).
The NRL Mite Air Vehicle.
In the Proceedings of the Bristol RPV/AUV Systems Conference.
- Postscript
- PDF
- Spears, W. & Gordon, D. (1999).
Using Artificial Physics to control agents.
In the Proceedings of IEEE International Conference on
Information, Intelligence, and Systems (ICIIS'99).
- Postscript
- Gordon, D., Spears, W., Sokolsky, O., & Lee, I. (1999).
Distributed spatial control, global monitoring and steering
of mobile physical agents.
In the Proceedings of IEEE International Conference on
Information, Intelligence, and Systems (ICIIS'99).
- Postscript
- Kuter, U., Levine, G., Green, D., Rebguns, A., Spears, D., and DeJong, G. (2007).
Learning constraints via demonstration for safe planning.
In the Proceedings of the AAAI Workshop on Acquiring Planning Knowledge via Demonstration.
- PDF
- Gordon-Spears, D. and Kiriakidis, K. (2004)
Reconfigurable robot teams: Modeling and supervisory control.
IEEE Transactions on Control Systems Technology 12 (5).
- PDF
- Kiriakidis, K. and Gordon-Spears, D. (2003).
Formal modeling and supervisory control of reconfigurable
robot teams.
Lecture Notes in Computer Science, Volume 2699.
- Postscript
- PDF
- Gordon-Spears, D. (2004).
Assuring the behavior of adaptive agents.
Book chapter in Agent Technology from a Formal
Perspective. Kluwer.
- Pre-publication PDF version.
- Kiriakidis, K. and Gordon, D. (2001).
Supervision of multiple-robot systems.
In the Proceedings of the American Control Conference (ACC'01).
- Postscript
- PDF
- Gordon, D. (2001).
APT Agents: Agents that are adaptive, predictable, and timely.
In Lecture Notes in Artificial Intelligence, Volume 1871.
Springer-Verlag.
- Postscript
- PDF
- Kiriakidis, K. and Gordon, D. (2001).
Supervisory control of multiagent systems subject to failure.
In Lecture Notes in Artificial Intelligence, Volume 1871.
Springer-Verlag.
- Postscript
- PDF
- Gordon, D. (2000).
Asimovian adaptive agents.
Journal of Artificial Intelligence Research, Vol. 13.
This paper won the NRL Alan Berman Publication award in 2001.
- Postscript
- PDF
- Gordon, D. and Kiriakidis, K. (2000)
Adaptive supervisory control of interconnected discrete event systems.
In the Proceedings of the IEEE International Conference on Control
Applications (ICCA'00)
- Postscript
- PDF
- Gordon, D. and Kiriakidis, K. (2000)
Design of adaptive supervisors for discrete event systems via learning.
In the Proceedings of the International Mechanical
Engineering Congress and Exposition (IMECE'00)
- Postscript
- PDF
- Gordon, D. (1998). Well-behaved Borgs, Bolos, and Berserkers.
In the Proceedings of the Fifteenth International
Conference on Machine Learning (ICML'98).
- Postscript
- PDF
- Gordon, D. (1998). An algorithm to find minimal sound and
complete partitions for model checking. NCARAI Technical Report
AIC-98-010.
- Postscript
- PDF
- Kelly, C., Spears, D., Karlsson, C., and Polyakov, P. (2006).
An ensemble of anomaly classifiers for identifying cyber attacks.
In the Proceedings of the International SIAM Workshop on Feature Selection
for Data Mining, Bethesda, MD. Also, republished in Critical Infrastructure
Protection Research (Wiley Publishers).
- PDF
- Shin, J., and Spears, D. (2006).
The basic building blocks of malware. University of Wyoming Technical Report.
- PDF
- Kannan, S., Lee, I., Sokolsky, O., Lee, W., Spears, D., and Spears, W. (2006).
Anomaly and misuse detection in network traffic streams: Checking and machine
learning approaches. In Critical Infrastructure Protection Research
(Wiley Publishers)
- Spears, W. and Gordon, D. (2002).
Evolution of strategies for resource protection problems.
Book chapter in Theory and Applications of Evolutionary
Computation: Recent Trends. Springer-Verlag.
- Postscript
- PDF
- Spears, W. and Gordon, D. (2000).
Evolving finite-state machine strategies for protecting resources.
In the Proceedings of ISMIS'00.
- Postscript
- PDF
- Gordon, D. & Subramanian, D. (1993).
A multistrategy learning scheme for agent
knowledge acquisition. Informatica, 17, 331-346.
- Postscript
- PDF
- Gordon D. & Subramanian D. (1993). A multistrategy learning
scheme for assimilating advice in embedded agents. In Proceedings
of the Second International Workshop on Multistrategy Learning
(pp. 218--233). Harpers Ferry, WV: George Mason University.
- Drapkin, J., Gordon, D., Kraus, S., Miller, M., Nirkhe, M.,
and Perlis, D. (1994)
Calibrating, counting, grounding, grouping.
In working notes of the AAAI94 Fall Symposium on ``Control of
the Physical World by Intelligent Agents.''
- Postscript
- PDF
- Gordon D. (1991). An enhancer for reactive plans.
Proceedings of the Eighth International Machine Learning
Workshop (pp. 505-508). Evanston, IL: Morgan Kaufmann.
- Postscript
- PDF
- Gordon D. & Grefenstette J. (1990). Explanations of
empirically derived reactive plans. In Proceedings of the Seventh
International Machine Learning Conference (pp. 198-203). Austin,
TX: Morgan Kaufmann.
- Postscript
- PDF
- Gordon, D. & desJardins, M. (1995).
Evaluation and selection of biases in machine learning.
In Machine Learning, 20(1/2), 5-22.
- Postcript figures
- Postscript paper
- PDF figures
- PDF paper
- des Jardins, M. and Gordon, D. (Eds.), (1995).
Special issue on bias evaluation and selection.
Machine Learning, 20(1/2).
- Gordon, D., & Perlis, D. (1995). Explicitly biased generalization.
Chapter 13 in Goal-Driven Learning, edited by A. Ram and D. Leake.
(Reprint of 1989 Computational Intelligence article)
- Postscript
- PDF
- Rao, R. B., Gordon, D., & Spears, W. (1995). For every generalization
action, is there really an equal and opposite reaction? Analysis of
the Conservation Law for generalization performance. In
Proceedings of the Twelfth International Conference on Machine
Learning..
- Postscript
- PDF
- De Jong, K.. Spears W., & Gordon D. (1993).
Using genetic algorithms for concept learning.
In Machine Learning, 13, 161-188.
- Postscript
- PDF
- Spears, W. & Gordon, D. (1992).
Is consistency harmful?
In Proceedings of the Workshop on Biases in Inductive Learning
at ML92.
- Postscript
- PDF
-
Gordon, D. (Ed.), (1992). Proceedings of the ML92 Workshop
on Biases in Inductive Learning. Aberdeen, Scotland.
- Gordon, D. (1992).
Queries for bias testing.
In Proceedings of the Workshop on
Problem Reformulation and Representation Change,
Asilomar, CA.
- Spears W. & Gordon D. (1991). Adaptive strategy selection
for concept learning. In Proceedings of the First International
Workshop on Multistrategy Learning (pp. 231-246). Harpers Ferry,
WV: George Mason University.
- Postscript
- PDF
- Gordon, D. (1991). Active learning and bias adjustment.
Naval Research Laboratory Review, 135-137.
- Gordon, D., Subramanian, D., Haught, M., Kobayashi, R., & Marshall, S.
(1998). Modeling individual differences in learning
on a navigation task. In the Proceedings of the Twentieth
Annual Meeting of the Cognitive Science Society.
- Postscript
- Postscript Figures 1-10
- Postscript Figures 11-20
- PDF
- PDF Figures 1-10
- PDF Figures 11-20
- Gordon, D. & Subramanian, D. (1997). A cognitive model
of learning to navigate. In Proceedings of the Nineteenth
Annual Conference of the Cognitive Science Society.
- Postscript
- PDF
- Gordon, D. & Subramanian, D. (1996). Cognitive modeling of
action selection learning. In Proceedings of the Eighteenth
Annual Conference of the Cognitive Science Society.
- Postscript
- PDF
- Gordon, D. & Subramanian, D. (1996). A comparison of action selection
learning methods. In Proceedings of the Third International
Workshop on Multistrategy Learning..
- Postscript
- PDF
- De Jong, K., Spears, W., & Gordon, D. (1994). Using Markov chains
to analyze GAFOs. In Proceedings of Foundations of
Genetic Algorithms..
- Postscript
- PDF
- Gordon, D. F., Tag, P. M., & Bankert, R. L. (1995). Unsupervised
classification procedures applied to satellite cloud data
NCARAI Technical Report AIC-95-005.
-
Postscript (58K, 6 pages)
-
Postscript compressed (24K, 6 pages)
-
PDF
- Gordon, D., Tag, P., & Bankert, R. (1994).
A test of an unsupervised machine learning procedure applied to
cloud classification data. (abstract)
In Proceedings of the AIRIES94 Workshop.
- Meyers, D. and D. Gordon (1982). Kinematic equations for
industrial manipulars. The Industrial Robot, 162--165.
For more information, please contact
Diana Gordon-Spears.
Last modified: 04/17/01