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An ensemble approach to the evolution of complex systems.

Göker Arpağ1, Ayşe Erzan

  • 1Department of Physics, Worcester Polytechnic Institute, 100 Institute Road, Olin Hall, Worcester, MA 0160912280, USA.

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|April 17, 2014
PubMed
Summary
This summary is machine-generated.

Complex adaptive systems can exhibit spontaneous, nonadaptive structures. This study explores cooperative phenomena, pattern formation, and the link between complexity and fitness in biological systems using examples from phase transitions and gene regulation.

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Area of Science:

  • Complexity science
  • Systems biology
  • Evolutionary biology

Background:

  • Adaptive systems often develop intricate structures that may not be evolutionarily advantageous.
  • Understanding emergent properties and pattern formation is crucial in complex systems.

Purpose of the Study:

  • To explore cooperative phenomena and pattern formation in adaptive systems.
  • To investigate the role of combinatorics in biological network topology.
  • To establish a connection between system complexity and evolutionary fitness.

Main Methods:

  • Analysis of examples from phase transitions and fractal growth.
  • Examination of RNA interference and transcriptional gene regulation networks.
  • Discussion of ensemble approaches and complexity measures.

Main Results:

  • Spontaneous complex structures can arise in adaptive systems, sometimes lacking adaptive value.
  • Combinatorial properties significantly explain topological features in gene regulatory networks.
  • A relationship between complexity and fitness in biological systems is identified.

Conclusions:

  • Cooperative phenomena and pattern formation are key themes in understanding complex adaptive systems.
  • Combinatorics offers a powerful lens for analyzing biological network structures.
  • Complexity is a measurable factor that correlates with evolutionary fitness.