01730nas a2200301 4500008004100000020001400041245008400055210006900139260001600208300001100224490000800235520077400243653001301017653003301030653003201063653001201095100001801107700001801125700001601143700002101159700002001180700002601200700002501226700001801251700002201269700002601291856011101317 2005 eng d a0036-807500aPattern-oriented modeling of agent-based complex systems: lessons from ecology.0 aPatternoriented modeling of agentbased complex systems lessons f c2005/11/11/ a987(5)0 v3103 a
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.
10aAnalysis10aEcological research_Analysis10aEcological research_Methods10aMethods1 aGrimm, Volker1 aRevilla, Eloy1 aBerger, Uta1 aJeltsch, Florian1 aMooij, Wolf, M.1 aRailsback, Steven, F.1 aThulke, Hans-Hermann1 aWeiner, Jacob1 aWiegand, Thorsten1 aDeAngelis, Donald, L. uhttps://fpf.forestry.oregonstate.edu/pattern-oriented-modeling-agent-based-complex-systems-lessons-ecology