Scientific Results

  • ID:
    publications-4098
  • Type:
    article
  • Year:
    2005
  • Authors:
    Grimm, Volker and Grimm, Volker and Revilla, Eloy and Revilla, Eloy and Berger, Uta and Berger, Uta and Jeltsch, Florian and Jeltsch, Florian and Mooij, Wolf M. and Mooij, Wolf M. and Mooij, Wolf M. and Railsback, Steven F. and Railsback, Steven F. and Thulke, HansĪ²ā‚¬ĀHermann and Thulke, HansĪ²ā‚¬ĀHermann and Weiner, Jacob and Weiner, Jacob and Wiegand, Thorsten and Wiegand, Thorsten and Jiang, Jiang and DeAngelis, Donald L.
  • Title:
    Pattern-oriented modeling of agent-based complex systems: lessons from ecology
  • Venue/Journal:
    Science
  • DOI:
    10.1126/science.1116681
  • Research type:
  • Water System:
  • Technical Focus:
  • Abstract:
    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.
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