Quantized Dissensus in Networks of Agents subject to Death and Duplication

Dario Bauso, Laura Giarre, Raffaele Pesenti

Risultato della ricerca: Article

10 Citazioni (Scopus)

Abstract

Dissensus is a modeling framework for networks of dynamic agents in competition for scarce resources. Originally inspired by biological cell behaviors, it also fits marketing, finance and many other application areas. Competition is often unstable in the sense that strong agents, those having access to large resources, gain more and more resources at the expenses of weak agents. Thus, strong agents duplicate when reaching a critical amount of resources, whereas weak agents die when losing all their resources. To capture all these phenomena we introduce discrete time gossip systems with unstable state dynamics interrupted by discrete events affecting the network topology. Invariancy of states, topologies, and network connectivity are explored
Lingua originaleEnglish
pagine (da-a)783-788
Numero di pagine6
RivistaIEEE Transactions on Automatic Control
Volume57
Stato di pubblicazionePublished - 2012

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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