On the Application of Kolmogorov Complexity to the Characterization and Evaluation of Computational Models and Complex Systems

This paper presents a proposal for the application of Kolmogorov complexity to the characterization of systems and processes, and the evaluation of computational models. The methodology developed represents a theoretical tool to solve problems from systems science. Two applications of the methodology are presented in order to illustrate the proposal, both of which were developed by the authors. The first one is related to the software development process, the second to computer animation models. In the end a third application of the method is briefly introduced, with the intention of characterizing dynamic systems of chaotic behavior, which clearly demonstrates the potentials of the methodology.

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