Open Access. Powered by Scholars. Published by Universities.®

Systems Architecture Commons

Open Access. Powered by Scholars. Published by Universities.®

Systems Science Faculty Publications and Presentations

Log-linear models

Articles 1 - 3 of 3

Full-Text Articles in Systems Architecture

Wholes And Parts In General Systems Methodology, Martin Zwick Jan 2001

Wholes And Parts In General Systems Methodology, Martin Zwick

Systems Science Faculty Publications and Presentations

Reconstructability analysis (RA) decomposes wholes, namely data in the form either of set-theoretic relations or multivariate probability distributions, into parts, namely relations or distributions involving subsets of variables. Data is modeled and compressed by variablebased decomposition, by more general state-based decomposition, or by the use of latent variables. Models, which specify the interdependencies among the variables, are selected to minimize error and complexity.


Control Uniqueness In Reconstructability Analysis, Martin Zwick Jan 1996

Control Uniqueness In Reconstructability Analysis, Martin Zwick

Systems Science Faculty Publications and Presentations

When the reconstructability analysis of a directed system yields a structure in which a generated variable appears in more than one subsystem, information from all of the subsystems can be used in modeling the relationship between generating and generated variables. The conceptualization and procedure proposed here is discussed in relation to Klir's concept of control uniqueness.


Set-Theoretic Reconstructability Of Elementary Cellular Automata, Martin Zwick, Hui Shu Jan 1995

Set-Theoretic Reconstructability Of Elementary Cellular Automata, Martin Zwick, Hui Shu

Systems Science Faculty Publications and Presentations

Set-theoretic reconstructability analysis is used to characterize the structures of the mappings of elementary cellular automata. The minimum complexity structure for each ECA mapping, indexed by parameter σ, is more effective than the λ parameter of Langton as a predictor of chaotic dynamics.