Abstract
This paper describes and illustrates certain principles for designing adaptive multi-resolution, multi-perspective models (MRMPM). It also demonstrates that modern interactive visual-modeling environments can be key enablers of MRMPM. The benefits are not just for the original model builder, but also for collaborators and subsequent users, who will typically need to adapt the model to their own special circumstances. The design-it-right-the-first-time ideal is a false god. The final purpose is to identify challenges for research on modeling and analysis environments.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Axtell, Robert Lee, Theory of Model Aggregation for Dynamical Systems with Applications to Problems of Global Change, Dissertation, Carnegie-Mellon University, UMI Dissertation Services, Ann Arbor, MI, 1992.
Davis, Bigelow, and McEver, Jimmie, Effects of Terrain, Maneuver, Tactics, and C4ISR on the Effectiveness of Long Range Precision Fires: a Stochastic Multiresolution Model (PEM) Calibrated to High-Resolution Simulation, RAND, Santa Monica, CA, 2000.
Davis, Paul K. and Bigelow, James, Experiments in Multiresolution Modeling, RAND, Santa Monica, CA, 1998.
Davis, Paul K. and Hillestad, Richard Families of Models that Cross Levels of Resolution: Issues for Design, Calibration, and Management, Proceedings, 1993 Winter Simulation Conference, 1993.
Davis, Paul K. and Hillestad, Richard, Exploratory Analysis for Strategy Problems with Massive Uncertainty, RAND, Santa Monica, CA, 2000.
Davis, Paul K. and Reiner Huber, Variable Resolution Modeling: Issues, Principles, and Challenges, RAND, N-3500-DARPA, Santa Monica, CA, 1992.
Davis, Paul K., An Introduction to Variable-Resolution Modeling and Cross-Resolution Model Connection, RAND, Santa Monica, CA, 1993. Also, J. of Naval Logistics, 42. No.2, 1995.
Davis, Paul K., Bigelow, James and McEver, Jimmie, Analytical Methods for Studies and Experiments on Transforming the Force, RAND, Santa Monica, CA, 1999.
Fishwick, Paul and Lee, Kangsung, “Dynamic Model Abstraction,” Proceedings of the 1996 Winter Simulation Conference, pp 764–771, San Diego, CA, 1996.
Hillestad, Richard and Juncosa, Mario, Cutting Some Trees to Save the Forest: on Aggregation and Disaggregation in Combat Models, RAND, Santa Monica, CA, 1993.
McEver, Jimmie, Davis, Paul K., and Bigelow, James, EXHALT: an Interdiction Model for the Halt Phase of Armored Invasions, RAND, Santa Monica, CA, 2000.
Morgan, M. Granger and Henrion, Max, Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis, Cambridge University Press, Cambridge, 1990; reprinted in 1998.
National Research Council, Modeling and Simulation, Volume 9 of Tactics and Technology for the United States Navy and Marine Corps: 2000–2035, National Academy Press, Washington, 1997.
Popken, Doublas, “Application of System Identification Techniques to Simulation Model Abstraction,” a paper presented at the April, 1999 SPIE conference, Proceedings of SPIE, Enabling Technology for Simulation Science III. Volume 3696. 1999.
Reynolds, P., Natrajan, N. and Srinivasan, S., “Consistency Maintenance in Multiresolution Simulation, ” ACM Transactions in Modeling and Computer Simulation, Vol. 7, No. 3, 368, 1997.
Zeigler, Bernard P., “A Framework for Modeling and Simulation,” Ch. 3 of David J. Cloud and Larry B. Rainey (editors), Applied Modeling and Simulation: An Integrated Approach to Development and Operation, McGraw Hill, New York, 1998.
Zeigler, Bernard P., “DEVS Representation of Dynamical Systems: Event-Based Intelligent Control,” Proceedings of IEEE, Vol. 77, No. 1, 1989, pp. 72 ff.
Zeigler, Bernard P., Multifaceted Modelling and Discrete Event Simulation, Academic Press, New York, 1984.
Zeigler, Bernard P., Theory of Modeling and Simulation, Wiley, New York, 1976.
The second edition is Zeigler, Bernard P., Kim, Tag Gon, and Praehofer, Herbert, Theory of Modeling and Design, Academic Press, 2000.
Zeigler, Bernard P., Object-Oriented Simulation with Hierarchical, Modular Models: Intelligent Agents and Endomorphic Systems, Academic Press, San Diego, 1990.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media New York
About this chapter
Cite this chapter
Davis, P.K. (2001). Adaptive Designs for Multiresolution, Multiperspective Modeling (MRMPM). In: Sarjoughian, H.S., Cellier, F.E. (eds) Discrete Event Modeling and Simulation Technologies. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3554-3_3
Download citation
DOI: https://doi.org/10.1007/978-1-4757-3554-3_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2868-9
Online ISBN: 978-1-4757-3554-3
eBook Packages: Springer Book Archive