Computational Modeling
نویسندگان
چکیده
| A computational modeling system (CMS) provides scientiic investigators with a uni-ed computational environment and easy access to a broad range of modeling tools. The goal of a CMS is to provide computational support that increases the eeciency of scientists in the iterative process of modeling. A CMS consists of a computational modeling environment and transparent computational support for the environment. The modeling environment is based on a characterization of scientiic modeling activities that is focussed on the manner in which scientiic concepts are represented , manipulated, and evaluated, in the scientiic modeling process. Based on a formalization of the representation for a concept as representational structures (or \R-structures"), the process of scientiic modeling may be viewed as one in which (1) extensible collections R-structures are constructed, evaluated and applied in modeling both the phenomena in speciic application domains and the phenomena of the modeling process itself; and (2) instances of the domain elements of R-structures are created and sequences of transformations are applied to the instances. R-structures provide a \complete" and consistent foundation for both the modeling environment of a CMS and its associated, high-level computational modeling language (CML). CML may be employed in creating, accessing, and manipulating R-structures and their components in a simple, uniform manner. A CMS provides a unifying framework for the integration of existing tools, such as DBMS and mathematical software modules, and a distributed modeling environment. Based on the general speciication of a CMS, we have designed and implemented a speciic CMS, Amazonia, which supports earth science applications in terms of a speciic set of R-structures and a \seamlessly" integrated and extendable collection of computational modules, including an object-oriented DBMS.
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