TY - MGZN T1 - Pattern-oriented modeling of agent-based complex systems: lessons from ecology. Y1 - 2005 A1 - Grimm,Volker A1 - Revilla,Eloy A1 - Berger,Uta A1 - Jeltsch,Florian A1 - Mooij, Wolf M. A1 - Railsback, Steven F. A1 - Thulke,Hans-Hermann A1 - Weiner,Jacob A1 - Wiegand,Thorsten A1 - DeAngelis, Donald L. KW - Analysis KW - Ecological research_Analysis KW - Ecological research_Methods KW - Methods AB -

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.

JF - Science VL - 310 SN - 0036-8075 ER -