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Aligning simulation models: A case study and results
dc.contributor.authorAxelrod, Roberten_US
dc.contributor.authorCohen, Michael D.en_US
dc.date.accessioned2006-09-11T15:10:20Z
dc.date.available2006-09-11T15:10:20Z
dc.date.issued1996-02en_US
dc.identifier.citationAxelrod, Robert; Cohen, Michael D.; (1996). "Aligning simulation models: A case study and results." Computational and Mathematical Organization Theory 1(2): 123-141. <http://hdl.handle.net/2027.42/44707>en_US
dc.identifier.issn1381-298Xen_US
dc.identifier.issn1572-9346en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/44707
dc.description.abstractThis paper develops the concepts and methods of a process we will call “alignment of computational models” or “docking” for short. Alignment is needed to determine whether two models can produce the same results, which in turn is the basis for critical experiments and for tests of whether one model can subsume another. We illustrate our concepts and methods using as a target a model of cultural transmission built by Axelrod. For comparison we use the Sugarscape model developed by Epstein and Axtell.en_US
dc.format.extent1276705 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherEconomics / Management Scienceen_US
dc.subject.otherArtificial Intelligence (Incl. Robotics)en_US
dc.subject.otherManagementen_US
dc.subject.otherOperation Research/Decision Theoryen_US
dc.subject.otherMethodology of the Social Sciencesen_US
dc.subject.otherSociologyen_US
dc.subject.otherSimulationen_US
dc.subject.otherReplicationen_US
dc.subject.otherComputational Modelsen_US
dc.subject.otherAlignmenten_US
dc.subject.otherCultureen_US
dc.titleAligning simulation models: A case study and resultsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelSocial Sciences (General)en_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Public Policy, University of Michigan, 48109, Ann Arbor, MIen_US
dc.contributor.affiliationumSchool of Public Policy, University of Michigan, 48109, Ann Arbor, MIen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/44707/1/10588_2005_Article_BF01299065.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF01299065en_US
dc.identifier.sourceComputational and Mathematical Organization Theoryen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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