Abstract
Research developments leading to implementation of an intelligent software environment supporting system design and simulation are presented. Knowledge-based system design and multifaceted simulation methodologies are a foundation for the system realization. The paper describes the major theoretical concepts and processes employed to develop and simulate design models. The environment implementing these concepts and methods consists of two basic components: one serves as a front end supporting the model construction processes; the other is an object-oriented, discrete-event simulator supporting evaluation of hierarchical, multi-component models. Current state of the system implementation and future work are discussed.
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J. W. Rozenblit and B. P. Zeigler (1985) Concepts for knowledge-based system design environments. In Proceedings of the 1985 Winter Simulation Conference, San Francisco, California.
O. Balci and R. E. Nance (1987) Simulation support: prototyping the automation-based paradigm. In Proceedings of the 1987 Winter Simulation Conference, Atlanta, Georgia, December 1987, 495–502.
D. W. Balmer (1987) Modelling styles and their support in the CASM environment. In Proceedings of the 1987 Winter Simulation Conference, Atlanta, Georgia, December 1987, 478–485.
D. W. Balmer and P. J. Paul (1986) CASM — the right environment for simulation. J. Opl Res. Soc. 37, 443–452.
J. O. Henriksen (1983) The integrated simulation environment: simulation software of the 1990s. Opns Res. 31, 1053–1073.
Jhyfang Hu, Y. Huang and J. W. Rozenblit (1989) FRASES — A knowledge representation scheme for engineering design. In Advances in Al and Simulation (SCS simulation series) 20(4), 141–146.
Jhyfang Hu (1989) Knowledge-based design support environment for design automation and performance evaluation. PhD Thesis, University of Arizona, Tucson, Arizona.
Y. M. Huang (1987) Building an expert system shell for model synthesis in logic programming. MS Thesis, University of Arizona, Tucson, Arizona.
Tag Gon Kim and B. P. Zeigler (1987) The DEVS formalism: hierarchical, modular system specification in an object oriented framework. In Proceedings of the 1987 Winter Simulation Conference, Atlanta, Georgia, December 1987, 559–566.
Tag Gon Kim (1988) A knowledge-based environment for hierarchical modelling and simulation. Technical Report AIS-7 (PhD Thesis), University of Arizona, Tucson, Arizona.
Tag Gon Kim and B. P. Zeigler (1989) The DEVS-SCHEME simulation and modelling environment. In Knowledge Based Simulation: Methodology and Application (Paul A. Fishwick and Richard B. Modjeski, Eds), Springer Verlag Inc., New York.
M. Minsky (1975) A framework for representing knowledge. In The Psychology of Computer Vision (P. H. Winston, Ed.), 211–277, McGraw-Hill, New York.
K. J. Murray and S. V. Sheppard (1987) Automatic model synthesis using automatic programming and expert systems techniques toward simulation modeling. In Proceedings of the 1987 Winter Simulation Conference, Atlanta, Georgia, December 1987, 534–543.
A. Newell and H. A. Simon (1972) Human Problem Solving, Prentice-Hall, Englewood Cliffs, New Jersey.
N. Pan (1989) A LISP-based shell for model structure generation in knowledge-based system design. MS Thesis, University of Arizona, Tucson, Arizona.
J. W. Rozenblit (1985) A conceptual basis for integrated model-based system design. PhD Thesis, Wayne State University, Detroit, Michigan.
J. W. Rozenblit and Y. Huang (1987) Constraint-driven generation of model structures. In Proceedings of the 1987 Winter Simulation Conference, Atlanta, Georgia, December 1987, 604–611.
J. W. Rozenblit and B. P. Zeigler (1988) Design and modelling concepts. In Encyclopedia of Robotics, pp. 308–322. John Wiley, New York.
J. W. Rozenblit and B. P. Zeigler (1986) Entity-based structures for model and experimental frame construction. In Modelling and Simulation in Artificial Intelligence Era (M. S. Elzas et al., Eds), North-Holland, Amsterdam.
J. W. Rozenblit and Y. M. Huang (1989) Rule-based generation of model structures in multifacetted modelling and system design. ORSA J. Computing (submitted).
J. W. Rozenblit and Jhyfang Hu (1989) Experimental frame generation in a knowledge-based system design and simulation environment. In Modelling and Simulation Methodology: Knowledge System Paradigms (M. S. Elzas, T. I. Oren and B. P. Zeigler, Eds), pp. 451–466. North-Holland, Amsterdam.
J. W. Rozenblit, J. Hu and Y. Huang (1989) An integrated, entity-based knowledge representation scheme for system design. In Proceedings of the 1989 NSF Engineering Design Research Conf. Amherst, MA, 393–408.
Suleyman Sevinc (1988) Automatic simplification of models in a hierarchical modular discrete event simulation environment. PhD Thesis, University of Arizona, Tucson, Arizona.
B. P. Zeigler (1984a) Multifaceted Modelling and Discrete Event Simulation, Academic Press, London.
B. P. Zeigler (1984b) System-theoretic representation of simulation models. IIE Trans. 16, 10–27.
B. P. Zeigler (1986) DEVS-SCHEME: a LISP-based environment for hierarchical, modular discrete event models. Technical Report AIS-2 CERL Laboratory, University of Arizona, Tucson, Arizona.
B. P. Zeigler (1987) Hierarchical, modular discrete-event models in an object-oriented environment. Simulation, 50, 219–230.
B. P. Zeigler, Tag Gon Kim, S. Sevinc and G. Zhang (1989) Implementing methodology-based tools in DEVSSCHEME. In Modelling and Simulation Methodology: Knowledge System Paradigms (M. S. Elzas, T. I. Oren and B. P. Zeigler, Eds), North-Holland, Amsterdam.
B. P. Zeigler (1990) Object-Oriented Simulation with Hierarchical Modular Models: Intelligent Agents and Endomorphic Systems. Academic Press, Boston.
A. I. Concepcion and B. P. Zeigler (1988) DEVS formalism: A framework for hierarchical model development. IEEE Trans. on Software Engineering, 14, 228–241.
A. Osyczka (1984) Multicriterion Optimization in Engineering. Ellis Horwood Press Ltd, Chichester.
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© 1992 Operational Research Society Ltd
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Rozenblit, J.W., Hu, J., Kim, T.G., Zeigler, B.P. (1992). Knowledge-based Design and Simulation Environment (KBDSE): Foundational Concepts and Implementation. In: Doukidis, G.I., Paul, R.J. (eds) Artificial Intelligence in Operational Research. Palgrave, London. https://doi.org/10.1007/978-1-349-12362-9_25
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DOI: https://doi.org/10.1007/978-1-349-12362-9_25
Publisher Name: Palgrave, London
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