Lee H. McGavin, University of West Alabama, Livingston, AL

Abstract: The linear and binary assumptions of information theory are compared to assumptions of nonlinear approaches to understanding human information transfer. A model of information in open systems that rely on qualitative and aesthetic assessments is proposed that includes elements of entropy dissipation. A mathematical definition of creativity is derived from the model. Reanalysis of an existing data set is used to show the effectiveness of the creativity algorithm.

Keywords: information theory, fuzzy entropy, creativity