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Can functionality in evolving networks be explained reductively?

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Area of Science:

  • Philosophy of Biology
  • Evolutionary Biology
  • Systems Biology

Background:

  • Philosophers of biology debate the concept of biological function.
  • Existing debates often focus on abstract, 'in principle' arguments.
  • Research on evolving networks offers empirical case studies for this debate.

Purpose of the Study:

  • Reconstruct the use of functional language in biological research papers by Marom and Braun.
  • Analyze the ontological consequences drawn by these authors from their findings.
  • Critically evaluate the epistemic legitimacy of arguments against reductionism based on these case studies.

Main Methods:

  • Analysis of research on evolving neural networks (Marom) controlling Braitenberg vehicles.
  • Examination of evolutionary rewiring of genetic networks in yeast (Braun).
  • Focus on parameters defined in functional terms within these studies.

Main Results:

  • Both studies reveal significant variability: different structures realize the same function, and identical structures perform different functions.
  • Marom and Braun use these findings to argue against reductionism.
  • The paper critically assesses the concepts underpinning this anti-reductionist argument.

Conclusions:

  • The empirical findings from evolving networks research present a challenge to reductionist accounts of biological function.
  • The paper questions the epistemic validity of inferring anti-reductionist conclusions from these specific case studies.
  • A deeper conceptual analysis is needed to adequately explicate biological function.