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Exploring the forms of model diagnosis in a simulation support environment
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Source Winter Simulation Conference archive
Proceedings of the 19th conference on Winter simulation table of contents
Atlanta, Georgia, United States
Pages: 590 - 596  
Year of Publication: 1987
ISBN:0-911801-32-4
Authors
Richard E. Nance  Systems Research Center, Virginia Tech, Blacksburg, VA
C. Michael Overstreet  Computer Science Department, Old Dominion University, Norfolk, VA
Sponsor
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 13,   Citation Count: 8
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ABSTRACT

Our purpose is to explain the categorization of diagnostic assistance, using an example, in order to address the central question for a simulation support environment: In what forms can computer assistance be provided to improve the simulation model development task? This question must be answered in the context of the economic and technical realities of today, for the near future, and the long term. We present several examples of computer assistance which indicate that a significant degree of assistance is possible.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Arden, B. W. (1980). What Can Be Automated? The MIT Press.
 
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Bums, J. R., and Winstead, W. H., (1985). M-Labeled Digraphs: An Aid to the Use of Structural and Simulation Models. Management Science 31, 3, Mar., 343-357.
 
4
Cox, B. j. (1983). The Message/Object Programsning Model. In: Proceedings of Sofffair. IEEE, Piscataway, N.J., 51-60.
 
5
Davies, N. R. (1976). On the Information Content of a Discrete Event Simulation Model. Simulation 27, 4, 123-128.
 
6
Evans, J. B. (1984). A Characterisation of Discrete Simulation Complexity. Publication No. TR-A6-84, Centre of Computer Studies and Applications, University of Hong Kong.
 
7
Evans, J. B. (1986). Simulation Complexity Revisited. Publication No. TR-B4-86, Centre of Computer Studies and Applications, University of Hong Kong.
 
8
Jenkins, A. M. (1983). Prototyping: A Methodology for the Design and Development of Application Systems. Discussion Paper #227, Graduate School of Business, Indiana University, April.
9
 
10
Mathewson, S. C. (1977). Technical comment On the information Content of a Discrete Event Simulation Model. Simulation 28, 3, 96.
 
11
Nance, R. E. (1977). The Feasibility of and the Methodology for Developing Federal Documentation Standards for Simulation Models. Final Report to the National Bureau of Standards.
 
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Nance, R. E. (1979). Model Representation in Discrete Event Simulation: Prospects for Developing Documentation Standards. In: Current lssues in Computer Simulation, N. Adam and A. Dogramaci (eds.), Academic Press, 83-97.
 
13
 
14
Nance, R. E. (1981a). Model Representation in Discrete Event Simulation: The Conical Methodology. Technical Report CS81003-R, Department of Computer Science, Virginia Tech, Blacksburg, VA.
15
 
16
 
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Nance, R. E. (1987). The Conical Methodology- A Framework for Simulation Model Development. In: Proceedings of the Conference on Methodology and Validation (1987 ESC, Orlando, FL, Apr, 6-9). Published as Simulation Series 19 1 (Jan. 1988), 38-43. SCS, San Diego, CA.
 
18
19
 
20
United States Government Accounting Office (1976). Ways to Improve Management of Federally Funded Computerized Models. LCD-75-111, Washington, D.C.
21
 
22
Wallace J. C. and Nance, R. E. (1985). The Control and Transformation Metric: A Basis for Measuring Model Complexity. Technical Report TR-85-15, Department of Computer Science, Virginia Tech, Blacksburg, VA, Mar.
 
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CITED BY  8

Collaborative Colleagues:
Richard E. Nance: colleagues
C. Michael Overstreet: colleagues