Physical Model Generation in PDE Analysis using Model-based Case-based Reasoning
Citation:
Finn, Donal; Cunningham, Padraig. 'Physical Model Generation in PDE Analysis using Model-based Case-based Reasoning'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-94-14, 1994, pp5Download Item:
Abstract:
Model generation has emerged as a key task in
engineering design and analysis. AI research in this area has
focused on model based reasoning emphasising qualitative models
in attempting to automate this process. In this paper, we propose
that this work on the use of model based reasoning in model
generation would benefit from the inclusion of case-based
reasoning (CBR) techniques. We argue that the use of cases
constrains the reasoning process as cases reflect known good routes
in the solution space. Cases also have the advantage of facilitating
the integration of heat transfer exemplars, approximations,
formulae and correlations. In addition, much of human competence
in this area is based on reusing solutions to previously solved
problems and CBR emulates this. In the paper, we advance these
arguments based on our experience with CoBRA, a CBR system for
physical model generation for the domain of heat transfer described
by partial differential equations.
Description:
Also in QR '94: 8th. International Workshop on Qualitative Reasoning about Physical Systems, pp90-97, Nara, Japan, June 1994.
Author: Finn, Donal; Cunningham, Padraig
Publisher:
Trinity College Dublin, Department of Computer ScienceType of material:
Technical ReportCollections
Series/Report no:
Computer Science Technical ReportTCD-CS-94-14
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