Documents

DOI

  • V. Grimm
  • E. Revilla
  • U. Berger
  • F. Jeltsch
  • W.M. Mooij
  • S.F. Railsback
  • H-H. Thulke
  • J. Weiner
  • T. Wiegand
  • D.L. DeAngelis
Agent-based complex systems are dynamic networks of many interacting agents; examples include ecosystems, financial markets, and cities. The search for general principles underlying the internal organization of such systems often uses bottom-up simulation models such as cellular automata and agent-based models. No general framework for designing, testing, and analyzing bottom-up models has yet been established, but recent advances in ecological modeling have come together in a general strategy we call pattern-oriented modeling. This strategy provides a unifying framework for decoding the internal organization of agent-based complex systems and may lead toward unifying algorithmic theories of the relation between adaptive behavior and system complexity.
Original languageEnglish
Pages (from-to)987-991
JournalScience Magazine
Volume310
Issue number5750
DOI
StatePublished - 2005

ID: 193936