Publication Date:
2005-11-15
Description:
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.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Grimm, Volker -- Revilla, Eloy -- Berger, Uta -- Jeltsch, Florian -- Mooij, Wolf M -- Railsback, Steven F -- Thulke, Hans-Hermann -- Weiner, Jacob -- Wiegand, Thorsten -- DeAngelis, Donald L -- New York, N.Y. -- Science. 2005 Nov 11;310(5750):987-91.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉UFZ Umweltforschungszentrum Leipzig-Halle, Department Okologische Systemanalyse, PF 500 136, 04301 Leipzig, Germany. volker.grimm@ufz.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16284171" target="_blank"〉PubMed〈/a〉
Keywords:
Animals
;
Behavior, Animal
;
Decision Support Techniques
;
*Ecology
;
Ecosystem
;
Fishes/physiology
;
*Models, Biological
;
Models, Economic
;
*Models, Theoretical
;
Systems Theory
;
Trees
;
Uncertainty
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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