Pattern-oriented modeling of agent-based complex systems: lessons from ecology.

TitlePattern-oriented modeling of agent-based complex systems: lessons from ecology.
Publication TypeMagazine Article
Year of Publication2005
AuthorsGrimm, V, Revilla E, Berger U, Jeltsch F, Mooij WM, Railsback SF, Thulke H-H, Weiner J, Wiegand T, DeAngelis DL
Issue Number5750
Date Published2005/11/11/
ISBN Number0036-8075
KeywordsAnalysis, Ecological research_Analysis, Ecological research_Methods, Methods

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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