Computational Modeling of Complex Socio-Technical Systems



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Week 6: Validation


M 2/20

Kathleen M. Carley Validating Computational Models. Working Paper.

Required

W 2/22

SMA – ch 5 pp 243-274 (Building Valid, Credible, and Appropriately Detailed Simulation Models)

Required




SMA – ch 6 pp 275-387 (Selecting Input Probability Distributions)

Required




BD – ch 21

Required




Kathleen Carley & Allen Newell, 1994, "The Nature of the Social Agent." Journal of Mathematical Sociology, 19(4): 221-262.

Required




Louie & Carley (2008). Balancing the criticisms: Validating multi-agent models of social systems. Simulation Modeling Practice and Theory 16 (2008) 242–256







Bedau, M. A. (1999) Can unrealistic computer models illuminate theoretical biology? Proc. GECCO '99 Workshop. Morgan Kaufmann. 20-23.

Background




Di Paolo, E. A., J. Noble, S. Bullock (2000) Simulation models as opaque thought experiments. Proc. Artificial Live VII. MIT Press. 497-506.

Background




http://www.cogs.susx.ac.uk/users/ezequiel/papers.html

listed under Conference publications



Background




Richard Burton and Borge Obel, 1995, The Validity of Computational Models in Organization Science: From Model Realism to Purpose of the Model. Computational and Mathematical Organization Theory. 1(1): 57-72.

Background




Kathleen M. Carley, 1996, "A Comparison of Artificial and Human Organizations." Journal of Economic Behavior and Organization. 31: 175-191.

Background




Osman Balci , Robert G. Sargent, A methodology for cost-risk analysis in the statistical validation of simulation models, Communications of the ACM, v.24 n.4, p.190-197, April 1981


Background




Banks, J., D. Gerstein, and S.P. Seares (1987). Modeling Processes, Validation, and Verification of Complex Simulations: A Survey, Methodology and Validation, Simulation Series, Vol. 19, No. 1. The Society for Computer Simulation, pp. 13-18.

Background




1984 DOD Simulations: Improved Assessment Procedures Would Increase the Credibility of Results(1987). United States General Accounting Office, PEMD-88-3.

Background




Bernard P. Zeigler, Theory of Modeling and Simulation, Krieger Publishing Co., Inc., Melbourne, FL, 1984

Background




Robert G. Sargent, Verification, validation, and accreditation: verification, validation, and accreditation of simulation models, Proceedings of the 32nd conference on Winter simulation, December 10-13, 2000, Orlando, Florida (note there is a proceedings each year)

Background




Giannanasi, F., Lovett, P., and Godwin, A.N., “Enhancing confidence in discrete event simulations”, Computers in Industry, Vol. 44 (pp 141-157), 2001.

Background




Kelton, W. David, Sadowski, Randall W., and Sadowski, Deborah A., Simulation with Arena, 2nd Ed., WCB McGraw-Hill, 2001.

Background




Mars, P., Chen, J., and Nambiar, R. (1996) Learning Algorithms: Theory and Applications in Signal Processing, Control, and Communications. Baton Rouge, CRC Press.

Background




Sadoun, B. “Applied system simulation: a review study”, Information Sciences, 124, pp 173-192, (2000)

Background




Sterman, John D., Business Dynamics: Systems Thinking and Modeling for a Complex World, Irwin McGraw-Hill, 2000.

Background




D Krackhardt 2000 "Modeling Structures of Organizations." In David R. Ilgen & Charles L. Hulin & D. R. Ilgen (eds.) Computational Modeling of Behavior in Organizations: The Third Scientific Discipline. Washington, DC: American Psychological Association.

Background




Technology for the US Navy and Marine Corps Volume 9: http://www.nap.edu/catalog/5869.htm

Background




Modeling and Simulation in Manufacturing: http://www.nap.edu/catalog/10425.html

Background




GamePipe vision paper: http://gamepipe.isi.edu/pubs/GamePipe9.1.pdf

Background










R 2/23

Lab




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