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Artificial Intelligence In Computational Fluid DynamicsPaper compares four first-generation artificial-intelligence (Al) software systems for computational fluid dynamics. Includes: Expert Cooling Fan Design System (EXFAN), PAN AIR Knowledge System (PAKS), grid-adaptation program MITOSIS, and Expert Zonal Grid Generation (EZGrid). Focuses on knowledge-based ("expert") software systems. Analyzes intended tasks, kinds of knowledge possessed, magnitude of effort required to codify knowledge, how quickly constructed, performances, and return on investment. On basis of comparison, concludes Al most successful when applied to well-formulated problems solved by classifying or selecting preenumerated solutions. In contrast, application of Al to poorly understood or poorly formulated problems generally results in long development time and large investment of effort, with no guarantee of success.
Document ID
19910000671
Acquisition Source
Legacy CDMS
Document Type
Other - NASA Tech Brief
Authors
Vogel, Alison Andrews
(NASA Ames Research Center, Moffett Field, CA.)
Date Acquired
August 14, 2013
Publication Date
December 1, 1991
Publication Information
Publication: NASA Tech Briefs
Volume: 15
Issue: 12
ISSN: 0145-319X
Subject Category
Mechanics
Report/Patent Number
ARC-12445
Accession Number
91B10671
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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