Automated Model Selection for Simulation

Citation: Yumi Iwasaki and Alon Y. Halevy. (1993) Automated Model Selection for Simulation. In KSL-93-11, 1993.

Publication techreport ( Edit )
type	Technical Report
bibtype	techreport
Bibtex basics
author	Yumi Iwasaki and Alon Y. Halevy
title	Automated Model Selection for Simulation
number	KSL-93-11
institution	Knowledge Systems, AI Laboratory
year	1993
Bibtex more
note	Updated February 1994.
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abstract	Constructing an appropriate model is crucial in reasoning successfully about the behavior of a physical situation to answer a query. In compositional modeling, a system is provided with a library of composable pieces of knowledge about the physical world called model fragments. Its task is to select appropriate model fragments to describe the situation, either for static analysis of a single state, or for the more complicated case simulation of dynamic behavior over a sequence of states. In previous work we showed how the model construction problem in general can advantageously be formulated as a problem of reasoning about {\em relevance}. This paper presents an actual algorithm, based on relevance reasoning, for selecting model fragments efficiently for the case of simulation. We show that the algorithm produces an adequate model for a given query and moreover, it is the simplest one given the constraints in the query.

KSL Technical Report ID: KSL-93-11

Abstract	Constructing an appropriate model is cruci … Constructing an appropriate model is crucial in reasoning successfully about the behavior of a physical situation to answer a query. In compositional modeling, a system is provided with a library of composable pieces of knowledge about the physical world called model fragments. Its task is to select appropriate model fragments to describe the situation, either for static analysis of a single state, or for the more complicated case simulation of dynamic behavior over a sequence of states. In previous work we showed how the model construction problem in general can advantageously be formulated as a problem of reasoning about {\em relevance}. This paper presents an actual algorithm, based on relevance reasoning, for selecting model fragments efficiently for the case of simulation. We show that the algorithm produces an adequate model for a given query and moreover, it is the simplest one given the constraints in the query. st one given the constraints in the query.
Author	Yumi Iwasaki and Alon Y. Halevy +
Bibtype	techreport +
Has author	Yumi Iwasaki and Alon Y. Halevy +
Has identifier	KSL-93-11 +
Has publishing details	1993 +
Has title	Automated Model Selection for Simulation +
Has where published	KSL-93-11 +
Has year	1993 +
Institution	Knowledge Systems, AI Laboratory +
Ksl tr id	KSL-93-11 +
Note	Updated February 1994.
Number	KSL-93-11 +
Process note	YES +
Title	Automated Model Selection for Simulation +
Year	1993 +