Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1126/science.1116681
Title (Primary) Pattern-oriented modeling of agent-based complex systems: lessons from ecology
Author Grimm, V.; Revilla, E.; Berger, U.; Jeltsch, F.; Mooij, W.M.; Railsback, S.F.; Thulke, H.-H. ORCID logo ; Weiner, J.; Wiegand, T.; DeAngelis, D.L.
Source Titel Science
Year 2005
Department OESA
Volume 310
Issue 5750
Page From 987
Page To 991
Language englisch

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.

Persistent UFZ Identifier
Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W.M., Railsback, S.F., Thulke, H.-H., Weiner, J., Wiegand, T., DeAngelis, D.L. (2005):
Pattern-oriented modeling of agent-based complex systems: lessons from ecology
Science 310 (5750), 987 - 991 10.1126/science.1116681