This paper presents a design of a knowledge-based simulation environment based on techniques from conventional simulation methods, object-oriented programming methods, and knowledge- based programming methods. The environment has cooperating knowledge- based and simulation parts integrated into one modeling system. An idealized knowledge-based simulation model is presented along with a language for implementing such a model. This language is based on Symbolics Common Lisp with Flavors package. A model of the software development process is presented to illustrate the use of the knowledge-based simulation environment. This software development model is not intended to be a rigorous model of the software development process, but only to illustrate the use of the knowledge-based development environment which is presented in this paper.
Ancelin, Jean and Cheriax, François , "KSE: A real-time expert system to diagnose failures and execute simulations in a nuclear power plant", Simulators IX, Apr. 1992, Vol. 24, No. 4.
2.
Banks, J. and Carson, J.S., II, Discrete-Event System Simulation, Prentice-Hall , 1984.
3.
Boehm, B., "Software Engineering", IEEE Transactions on Computers , Vol. C-25, No. 12, December 1976, pp. 1126-1141.
Bromley, H. and Lamson, R., LISP Lore: A Guide to Programming the LISP Machine, Second Edition, Kluwer Academic Publishers, 1987.
6.
Brownston, L., Farrell, R., Kant, E., and Martin, N., Programming Expert Systems in OPS5, Addison-Wesley , 1985.
7.
Clymer, J.R., Cheng, D.J., and Hernandez, D., "Induction of decision making rules for context sensitive systems" , SIMULATION, 1992, Vol. 59, pp. 198-206.
8.
Deslandres, V. and Pierreval, H., "An expert system prototype assisting the statistical validation of simulation models", SIMULATION, 1991, Vol. 56, pp. 78-89.
9.
Evans, J.B., Structures of Discrete Event Simulation, Ellis Horwood Limited, Chichester, West Sussex, England, 1988.
Finn, D.P., Hurly N.J., and Sagawa, N., "AI-DESQSOL: A knowledge based environment for numerical simulation of engineering problems described by partial differential equations", Proc. of the 1991 European Simulation Multiconference on Modeling and Simulation, 1991, pp. 67-72.
12.
Franta, W.R., The Process View of Simulation, North-Holland, 1977.
13.
Fu, L.M., "CAUSIM: A rule-based simulation system ", SIMULATION , 1991, Vol. 56, pp. 251 -257.
14.
Hayes-Roth, F., Waterman, D.A., and Lenat, D.B., Building Expert Systems, Addison-Wesley, 1983.
15.
Hooper, J.W., "Strategy-Related Characteristics of Discrete-Event Languages and Models ", SIMULATION, Apr., 1986, Vol. 46, No. 4, pp. 153-159.
16.
Ketcham, M.G., "Knowledge-Based Analysis of IBIS Simulations: Capacity analysis and dynamic interactions" Proc. of the 1991 SCS European Simulation Multiconference on Modelling and Simulation, E. Mosekilde (ed.), pp. 531-535
17.
Kulikowski, C.A. "Artificial Intelligence Modeling and Simulation" Artificial Intelligence, Expert Systems and Languages in Modeling and Simulation, North-Holland, Jun. 1987, pp. 5-13.
18.
Lane, G.M., Fegan, C. Kruse, and Millivard, B., "A framework and toolkit for manufacturing systems simulation linked to integrated information systems " Proc. of the European Simulation Symposium, 1992, pp. 455-460.
19.
Merkuryeva, Galina and Merkuryev, Yury, "Knowledge Based Simulation Sytems", SIMULATION, Feb. 1994, Vol. 62, No. 2, pp. 74-89.
20.
Murray, K.J. and Sheppard, S.V., "Knowledge-Based Simulation Model Specification ", SIMULATION, Mar. 1988, Vol. 50, No. 3, pp. 112-119.
21.
O'Keefe, R., "Simulation and Expert Systems - A Taxonomy and Some Examples ", SIMULATION, Jan. 1986, Vol. 46, No. 1, pp. 10-16.
22.
Rothenberg, J., "Artificial Intelligence and Simulation", 1991 Winter Simulation Conference Proceedings, Dec. 1991, pp. 218-222.
23.
Rozenblit, J.W. and Jankowski, P.L. "An integrated framework for knowledge-based modeling and simulation of natural systems " SIMULATION, 1991, Vol. 57, pp. 152-165.
24.
Saktivel, S. and Agarwal, R., "Knowledge-based model construction for simulating information systems " SIMULATION, 1992, Vol. 59, pp. 223-256.
25.
Shannon, R.E., System Simulation: The Art and Science, Prentice-Hall , New Jersey, 1975.
26.
Shannon, R.E., Mayer, R., and Adelsberger, H.H. , "Expert Systems and Simulation ", SIMULATION, Jun., 1985, Vol. 44, No. 6.
27.
Sharma, G., Asthana, T.G.S., and Goel, S., "A Knowledge-Based Simulation Approach (K-SIM) for Train Operation and Planning", SIMULATION, Jun. 1994, Vol. 62, No. 6.
28.
Smith, H.R., and McVicar, K., "Knowledge-Based Simulation with Frameworks", Proc. of Multiconference 1988, Feb. 1988.
29.
Sudati, S., Balsamo, S., and Donatiello, L., "A knowledge-based modeling environment for computer system performance evaluation" , Proc. of the 1991 European Simulation Multiconference on Modeling and Simulation, pp. 82-88.
30.
Sun, Q., Chrystall, C.N., and Kaye, M.M., "Knowledge-based interactive real-time control system in discrete manufacturing" , Proc. of the Simulation Multiconference on Artificial Intelligence and Simulation, 1991, pp. 9-14.
31.
SymbolicsCommon LISP - Language Concepts , Symbolics, Inc., 1988.
32.
SymbolicsCommon LISP- Language Dictionary , Symbolics, Inc., 1988.
33.
Wang, W. and Bell, R., "A Knowledge-Based System Structure from the Modelling of Flexible Manufacturing Systems", TRANSACTIONS of The Society for Computer Simulation, Sep.1992, Vol. 9, No. 3, pp. 159-173.
34.
Weinmeister, S. and Junghanns, L., "The Knowledge Based Simulation of Complex Manufacturing Processes ", Proc. of the European Simulation Symposium , 1992, pp. 381-385.
35.
Wild, R. and Pignatiello, J.J. Jr, "Finding Stable System Designs: A Reverse Simulation Technique", Communications of the ACM, Oct. 1994, Vol. 7, No. 10, pp. 87-98.
36.
Williams, M.D., "A Knowledge-Based Simulation Development Environment", Ph. D. dissertation, The University of Alabama in Huntsville, Huntsville, Ala., 1990.
37.
Winston, P.H., Artificial Intelligence, Second Edition, Addison-Wesley , 1984.
38.
Yourdon, E., Techniques of Program Structure and Design, Prentice-Hall , 1975.
