Combining artificial intelligence concepts with traditional simula tion methodologies yields a powerful design support tool known as knowledge based simulation. This approach turns a descrip tive simulation tool into a prescriptive tool, one which recom mends specific goals. Much work in the area of general goal pro cessing and explanation of recommendations remains to be done.
Baskaran, V. and Y.V. Reddy.1984. An introspective environment for knowledge based simulation." In Proceedings, Winter Simulation Conference, Austin, Texas. SCS, San Diego, Calif., 645-651.
2.
Bobrow, Daniel G. and Mark Stefik.1982. "The LOOPS manual (preliminary version)." Knowledge Based VLSI Design Group Technical Report KB-VLSI-81-13. Palo Alto, Calif. (August).
3.
Bobrow, Daniel G. and Terry Winograd.1977. "An overview of KRL, a knowledge representation language ." Cognitive Science3, no. 46 (March).
4.
Goldberg, Adele and David Robson.1983.Smalltalk-80, The Language and its Implementation. Addison Wesley, Reading, Mass.
5.
Hayhurst, Brett;Felix Londono; and Y.V. Ramana Reddy .1986. "LASER/GRAPH." Technical Document. Al Laboratory, West Virginia University, Morgantown, W. Va.
6.
Klahr, P. and W.S. Faught.1980. "Knowledge based simulation." In Proceedings, First Conference, Stanford, Calif. AAAI, 181-183.
7.
Ören, Tuncer L.1987. "Traditional and cognizant simulation and other model based activities: an integrative view." 4th International Symposium on Modeling and Simulation Methodology, Tucson, Arizona (January).
8.
Reddy, Y.V. Ramana and Mark S. Fox.1981. "KBS: an artificial intelligence approach to flexible simulation." Technical Report CMU-RI-TR-81-4, Carnegie Mellon University, Pittsburgh, Pa.
9.
Reddy; Y.V. Ramana; Mark S. Fox; Nizwer Husain; and Malcolm McRoberts.1986. "The knowledge-based simulation system." IEEE Software. (26-37, March).