Information dynamics of evolved agents

  • Authors:
  • Paul L. Williams;Randall D. Beer

  • Affiliations:
  • Cognitive Science Program, Indiana University, Bloomington, IN;Cognitive Science Program, Indiana University, Bloomington, IN and School of Informatics and Computing, Indiana University, Bloomington, IN

  • Venue:
  • SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
  • Year:
  • 2010

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Abstract

Information-theoretic techniques have received much recent attention as tools for the analysis of embodied agents. However, while techniques for quantifying static information structure are well-established, the application of information theory to the analysis of temporal behavior is still in its infancy. Here we formulate a novel information-theoretic approach for analyzing the dynamics of information flow in embodied systems. To demonstrate our approach, we apply it to analyze a previously evolved model of relational categorization. The results of this analysis demonstrate the unique strengths of our approach for exploring the detailed structure of information dynamics, and point towards a natural synergy between temporally-extended information theory and dynamical systems theory.