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State‐based reconstructability analysis

State‐based reconstructability analysis Reconstructability analysis (RA) is a method for detecting and analyzing the structure of multivariate categorical data. While Jones and his colleagues extended the original variable‐based formulation of RA to encompass models defined in terms of system states, their focus was the analysis and approximation of real‐valued functions. In this paper, we separate two ideas that Jones had merged together: the “g to k” transformation and state‐based modeling. We relate the idea of state‐based modeling to established variable‐based RA concepts and methods, including structure lattices, search strategies, metrics of model quality, and the statistical evaluation of model fit for analyses based on sample data. We also discuss the interpretation of state‐based modeling results for both neutral and directed systems, and address the practical question of how state‐based approaches can be used in conjunction with established variable‐based methods. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

State‐based reconstructability analysis

Martin Zwick; Michael S. Johnson
Kybernetes , Volume 33 (5/6): 12 – Jun 1, 2004
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12 pages

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Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
0368-492X
DOI
10.1108/03684920410534092
Publisher site
See Article on Publisher Site

Abstract

Reconstructability analysis (RA) is a method for detecting and analyzing the structure of multivariate categorical data. While Jones and his colleagues extended the original variable‐based formulation of RA to encompass models defined in terms of system states, their focus was the analysis and approximation of real‐valued functions. In this paper, we separate two ideas that Jones had merged together: the “g to k” transformation and state‐based modeling. We relate the idea of state‐based modeling to established variable‐based RA concepts and methods, including structure lattices, search strategies, metrics of model quality, and the statistical evaluation of model fit for analyses based on sample data. We also discuss the interpretation of state‐based modeling results for both neutral and directed systems, and address the practical question of how state‐based approaches can be used in conjunction with established variable‐based methods.

Journal

Kybernetes – Emerald Publishing

Published: Jun 1, 2004

Keywords: Cybernetics; Modelling; Numerical analysis

References

  • The identification problem of reconstructability analysis: a general method for estimation and optimal resolution of local inconsistency
    Anderson, D.R.
  • Discrete Multivariate Analysis
    Bishop, Y.M.; Feinberg, S.E.; Holland, P.W.
  • State‐based reconstructability modeling for decision analysis
    Johnson, M.; Zwick, M.
  • Determination of reconstruction families
    Jones, B.
  • Determination of unbiased reconstructions
    Jones, B.
  • A greedy algorithm for a generalization of the reconstruction problem
    Jones, B.
  • Reconstructability analysis for general functions
    Jones, B.
  • K‐systems versus classical multivariate systems
    Jones, B.
  • A program for reconstructability analysis
    Jones, B.
  • Architecture of Systems Problem Solving
    Klir, G.J.