New classes of quality assurance concepts and techniques are required for the advanced knowledge-processing paradigms (such as artificial intelligence, expert systems, or knowledge-based sys tems) and the complex problems that only simulative systems can cope with. A systematization of quality assurance problems as well as examples are given to traditional and cognizant quality assurance techniques in traditional and cognizant modelling and simulation.
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Ören, T.I.1986c. "Implications of Machine Learning in Simulation." In Modelling and Simulation Methodology in the Artificial Intelligence Era, M.S. Elzas; T.I. Ören; and B.P. Zeigler, eds. North-Holland, Amsterdam, 41-57.
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Ören, T.I.1987. "Artificial Intelligence and Quality Assurance Methodology ." In Knowledge-Based Simulation and Modelling: Al and Simulation , B.P. Zeigler, ed. Lecture Notes of a Professional Development Seminar, The University of Arizona, Tucson, Arizona, (Jan. 19-20).
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Ören, T.I. and K.Z. Aytac.1984. "Magest: A Model-Based Advisor and CertifierforGest Programs." In Modelling and Simulation Methodology in the Artificial Intelligence Era, M.S. Elzas; T.I. Ören; and B.P. Zeigler , eds. North-Holland, Amsterdam , 299-307.
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Ören, T.I. and M.S. Elzas.1987 - in press. "Technical Foundations for Quality Assurance of Systems Engineering Activities for Safety Assessment ." In Waste Management '87, R.G. Post, ed. Proc. of the Waste Management Conf, Tucson, Arizona (March 1-5).
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Ören, T.I.; M.S. Elzas; and G. Sheng.1985. "Model Reliability and Software Quality Assurance in Simulation of Nuclear Fuel Waste Management Problems." In Waste Management '85, R.G. Post , ed. Proc. of the Waste Management Conf, Tucson, Arizona, 381-396.
