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<item>
  <id>05825594</id>
  <dt>a</dt>
  <an>05825594</an>
  <augroup>
    <au>Williams, Paul L.</au>
    <au>Beer, Randall D.</au>
  </augroup>
  <ti>Information dynamics of evolved agents.</ti>
  <so>Doncieux, St\'ephane (ed.) et al., From animals to animats 11. 11th international conference on simulation of adaptive behavior, SAB 2010, Paris -- Clos Luc\'e, France, August 25--28, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-15192-7/pbk). Lecture Notes in Computer Science 6226. Lecture Notes in Artificial Intelligence, 38-49 (2010).</so>
  <py>2010</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-15193-4_4</li>
  </ligroup>
  <abgroup>
    <ab>Summary: 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.</ab>
    <rv></rv>
  </abgroup>
</item>