An integrated scheme for using first-principle physical knowledge-based simulation
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abstract: In this abstract, we describe an integrated scheme for using first-principlephysics knowledge for knowledge-based simulation using equations. In mostdisciplines of sciences, a set of simultaneous equation is an essential toolfor describing the relations among parameters that govern the system behaviorover time. The two main stages of using equations for this purpose are (1)characterization of a system in terms of functional relations amongparameters, and (2) prediction of the system behavior using the equationsthrough various analytic, numeric, or qualitative techniques. The secondstage has been studied extensively, and many computer programs for performingthe second stage exist. In contrast, much less attempts have been made toautomate the first stage. The reasons for this are that model building is aprocess that requires a large amount of first-principle knowledge of thedomain. It also requires heuristic and commonsense knowledge in order todetermine the sets of phenomena to model and the temporal grain size of themodel that is appropriate for a given goal of the analysis.
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| Abstract | In this abstract, we describe an integrate … In this abstract, we describe an integrated scheme for using first-principlephysics knowledge for knowledge-based simulation using equations. In mostdisciplines of sciences, a set of simultaneous equation is an essential toolfor describing the relations among parameters that govern the system behaviorover time. The two main stages of using equations for this purpose are (1)characterization of a system in terms of functional relations amongparameters, and (2) prediction of the system behavior using the equationsthrough various analytic, numeric, or qualitative techniques. The secondstage has been studied extensively, and many computer programs for performingthe second stage exist. In contrast, much less attempts have been made toautomate the first stage. The reasons for this are that model building is aprocess that requires a large amount of first-principle knowledge of thedomain. It also requires heuristic and commonsense knowledge in order todetermine the sets of phenomena to model and the temporal grain size of themodel that is appropriate for a given goal of the analysis. ropriate for a given goal of the analysis. |
| Author | Yumi Iwasaki + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-90-58 + |
| Month | August + |
| Number | KSL-90-58 + |
| Tag | Computer science + |
| Title | An Integrated Scheme for Using First-Principle Physical Knowledge-Based Simulation + |
| Tr id | KSL-90-58 + |
| Year | 1990 + |

