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Title

Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology

AuthorsGrimm, Volker; Revilla, Eloy ; Berger, Uta; Jeltsch, Florian; Mooij, Wolf M.; Railsback, Steven F.; Thulke, Hans-Hermann; Weiner, Jacob; Wiegand, Thorsten; DeAngelis, Donald L.
Issue DateNov-2005
PublisherAmerican Association for the Advancement of Science
CitationScience, 310 : 987-991 (2005)
AbstractAgent-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
Publisher version (URL)http://dx.doi.org/10.1126/science.1116681
URIhttp://hdl.handle.net/10261/51885
DOI10.1126/science.1116681
Appears in Collections:(EBD) Comunicaciones congresos
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