An Algorithmic Approach to Collective Behavior

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


The emergence of collective structure from the decentralized interaction of autonomous agents remains, with notable exceptions, a mystery. While powerful tools from dynamics and statistical mechanics have been brought to bear, sometimes with great success, an algorithmic perspective has been lacking. Viewing collective behavior through the lens of natural algorithms offers potential benefits. This article examines the merits and challenges of an algorithmic approach to the emergence of collective order.

Original languageAmerican English
Pages (from-to)514-548
Number of pages35
JournalJournal of Statistical Physics
Issue number3
StatePublished - Feb 2014

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics


  • Collective behavior
  • Dynamic networks
  • Influence systems
  • Natural algorithms
  • Renormalization
  • s-Energy


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