Self-Explanatory Simulations: Scaling Up to Large Models
نویسندگان
چکیده
Qualitative reasoners have been hamstrung by the inability to analyze large models . This includes selfexplanatory simulators, which tightly integrate qualitative and numerical models to provide both precision and explanatory power . While they have important potential applications in training, instruction, and conceptual design, a critical step towards realizing this potential is the ability to build simulators for medium-sized systems (i .e ., on the order of ten to twenty independent parameters) . This paper describes a new method for developing self-explanatory simulators which scales up . While our method involves qualitative analysis, it does not rely on envisioning or any other form of qualitative simulation . We describe the results of an implemented system which uses this method, and analyze its limitations and potential .
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