TY  - JOUR
A1  - Grimm, Volker
A1  - Revilla, Eloy
A1  - Berger, Uta
A1  - Jeltsch, Florian
A1  - Mooij, Wolf M.
A1  - Railsback, Steven Floyd
A1  - Thulke, Hans-Hermann
A1  - Weiner, Jacob
A1  - Wiegand, Thorsten
A1  - DeAngelis, Donald L.
T1  - Pattern-oriented modeling of agend-based complex systems : lessons from ecology
N2  - 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
Y1  - 2005
ER  -