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Studying Complex Adaptive Systems
dc.contributor.authorHolland, John Henryen_US
dc.date.accessioned2006-09-08T19:18:40Z
dc.date.available2006-09-08T19:18:40Z
dc.date.issued2006-03en_US
dc.identifier.citationHolland, John H.; (2006). "Studying Complex Adaptive Systems." Journal of Systems Science and Complexity 19(1): 1-8. <http://hdl.handle.net/2027.42/41486>en_US
dc.identifier.issn1009-6124en_US
dc.identifier.issn1559-7067en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/41486
dc.description.abstractComplex adaptive systems (cas) – systems that involve many components that adapt or learn as they interact – are at the heart of important contemporary problems. The study of cas poses unique challenges: Some of our most powerful mathematical tools, particularly methods involving fixed points, attractors, and the like, are of limited help in understanding the development of cas. This paper suggests ways to modify research methods and tools, with an emphasis on the role of computer-based models, to increase our understanding of cas.en_US
dc.format.extent1174681 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science + Business Media, Inc.en_US
dc.subject.otherEconomics / Management Scienceen_US
dc.subject.otherSystems Theory, Controlen_US
dc.subject.otherMathematical Modeling and Industrial Mathematicsen_US
dc.subject.otherProbability Theory and Stochastic Processesen_US
dc.subject.otherAppl.Mathematics/Computational Methods of Engineeringen_US
dc.subject.otherIndustrial and Production Engineeringen_US
dc.subject.otherOperations Research/Decision Theoryen_US
dc.subject.otherAgent-based Systemsen_US
dc.subject.otherClassifier Systemsen_US
dc.subject.otherComplex Adaptive Systemsen_US
dc.subject.otherComputer-based Modelsen_US
dc.subject.otherCredit Assignmenten_US
dc.subject.otherGenetic Algorithmsen_US
dc.subject.otherParallelismen_US
dc.subject.otherRule Discoveryen_US
dc.subject.otherSignal-passingen_US
dc.subject.otherTagsen_US
dc.titleStudying Complex Adaptive Systemsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Electrical Engineering and Computer Science, College of Engineering, University of Michigan, 1301 Beal Avenue, Ann Arbor, Michigan, 48109-2122, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/41486/1/11424_2006_Article_1.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s11424-006-0001-zen_US
dc.identifier.sourceJournal of Systems Science and Complexityen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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