The dynamics of influence systems

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12 Scopus citations


Influence systems form a large class of multiagent systems designed to model how influence, broadly defined, spreads across a dynamic network. We build a general analytical framework which we then use to prove that, while Turing-complete, influence dynamics of the diffusive type is almost surely asymptotically periodic. Besides resolving the dynamics of a popular family of multiagent systems, the other contribution of this work is to introduce a new type of renormalization-based bifurcation analysis for multiagent systems.

Original languageEnglish (US)
Article number6375309
Pages (from-to)311-320
Number of pages10
JournalProceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS
StatePublished - 2012
Event53rd Annual IEEE Symposium on Foundations of Computer Science, FOCS 2012 - New Brunswick, NJ, United States
Duration: Oct 20 2012Oct 23 2012

All Science Journal Classification (ASJC) codes

  • General Computer Science


  • Influence systems
  • algorithmic calculus
  • natural algorithms
  • renormalization. multiagent systems


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