Reconstructability Analysis and its Re-Interpretation in Terms of Pragmatic Information

Reconstructability Analysis (RA) has been developed by G.J. Klir and others in order to get a method with which it is possible to obtain information about the structure of a system when only behavioral data are available. The elicitation of an adequate structure can be regarded as a gain of information, when its information content is compared to the information content of the behavioral data. Simulation experiments can be used to estimate the information distance between the reconstructed behavior and the original system behavior. The results are used to reinterpret the gain of information in terms of pragmatic information, i.e. in novelty and confirmation. It is demonstrated how the concept of pragmatic information might be able to explain the rationale of computer aided inductive reasoning.

[1]  George J. Klir,et al.  General Reconstruction Characteristics of Probabilistic and Possibilistic Systems , 1986, Int. J. Man Mach. Stud..

[2]  Ghislain Vansteenkiste,et al.  Computer-aided modelling and simulation , 1982 .

[3]  François E. Cellier,et al.  SAPS-II: A NEW IMPLEMENTATION OF THE SYSTEMS APPROACH PROBLEM SOLVER , 1987 .

[4]  R. Christensen.  ENTROPY MINIMAX MULTIVARIATE STATISTICAL MODELING–I: THEORY , 1985 .

[5]  Klaus Kornwachs.  Cognition and Complementarity , 1988 .

[6]  Roger C. Conant,et al.  INFORMATION LOSS DUE TO DATA QUANTIZATION IN RECONSTRUCTABILITY ANALYSISf , 1983 .

[7]  Louis Padulo.  System theory , 1974 .

[8]  George J. Klir,et al.  An Empirical Investigation of Reconstructability Analysis: Probabilistic Systems , 1985, Int. J. Man Mach. Stud..

[9]  G. Klir.  Where do we stand on measures of uncertainty, ambiguity, fuzziness, and the like? , 1987 .

[10]  Frank Harary,et al.  Graph Theory , 2016 .

[11]  Roger C. Conant.  EXTENDED DEPENDENCY ANALYSIS OF LARGE SYSTEMS∗ Part II: Static Analysis , 1988 .

[12]  George J. Klir,et al.  ON THE NOTION OF DISTANCE REPRESENTING INFORMATION CLOSENESS: Possibility and Probability Distributions , 1983 .

[13]  Robert M. Haralick,et al.  Efficient Graph Automorphism by Vertex Partitioning , 1983, Artif. Intell..

[14]  G. Klir.  IDENTIFICATION OF GENERATIVE STRUCTURES IN EMPIRICAL DATA , 1976 .

[15]  Peter D. Turney.  LAWS OF FORM AND FINITE AUTOMATA , 1986 .

[16]  George J. Klir,et al.  RELATIONSHIP BETWEEN TRUE AND ESTIMATED POSSIBILISTIC SYSTEMS AND THEIR RECONSTRUCTIONS , 1986 .

[17]  George J. Klir,et al.  The potential of reconstructability analysis for production research , 1988 .

[18]  Roger C. Conant.  EXTENDED DEPENDENCY ANALYSIS OF LARGE SYSTEMS , 1988 .