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

@article{citeulike:460430, abstract = {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. 10.1126/science.1116681}, author = {Grimm, Volker and Revilla, Eloy and Berger, Uta and Jeltsch, Florian and Mooij, Wolf M. and Railsback, Steven F. and Thulke, Hans-Hermann and Weiner, Jacob and Wiegand, Thorsten and Deangelis, Donald L.}, citeulike-article-id = {460430}, citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.1116681}, citeulike-linkout-1 = {http://www.sciencemag.org/cgi/content/abstract/310/5750/987}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/16284171}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=16284171}, day = {11}, doi = {10.1126/science.1116681}, journal = {Science}, keywords = {abm, mas}, month = {November}, number = {5750}, pages = {987--991}, posted-at = {2007-05-04 08:36:00}, priority = {2}, title = {Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology}, url = {http://dx.doi.org/10.1126/science.1116681}, volume = {310}, year = {2005} }

TY - JOUR ID - citeulike:460430 L3 - citeulike-article-id:460430 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. 10.1126/science.1116681 IS - 5750 JF - Science EP - 991 TI - Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology VL - 310 SP - 987 KW - abm KW - mas AU - Grimm, Volker AU - Revilla, Eloy AU - Berger, Uta AU - Jeltsch, Florian AU - Mooij, Wolf AU - Railsback, Steven AU - Thulke, Hans-Hermann AU - Weiner, Jacob AU - Wiegand, Thorsten AU - Deangelis, Donald PY - 2005/11/11/ UR - http://dx.doi.org/10.1126/science.1116681 ER -