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dc.contributor.authorAdam, Elie M
dc.contributor.authorDahleh, Munther A
dc.contributor.authorOzdaglar, Asuman E
dc.date.accessioned2019-11-20T15:08:46Z
dc.date.available2019-11-20T15:08:46Z
dc.date.issued2017-07
dc.date.submitted2016-05
dc.identifier.issn1860-5974
dc.identifier.urihttps://hdl.handle.net/1721.1/122977
dc.description.abstractWe introduce a new class of (dynamical) systems that inherently capture cascading effects (viewed as consequential effects) and are naturally amenable to combinations. We develop an axiomatic general theory around those systems, and guide the endeavor towards an understanding of cascading failure. The theory evolves as an interplay of lattices and fixed points, and its results may be instantiated to commonly studied models of cascade effects. We characterize the systems through their fixed points, and equip them with two operators. We uncover properties of the operators, and express global systems through combinations of local systems. We enhance the theory with a notion of failure, and understand the class of shocks inducing a system to failure. We develop a notion of μ-rank to capture the energy of a system, and understand the minimal amount of effort required to fail a system, termed resilience. We deduce a dual notion of fragility and show that the combination of systems sets a limit on the amount of fragility inherited.en_US
dc.language.isoen
dc.publisherSaarbrücken : Int. Fed. of Computational Logicen_US
dc.relation.isversionofhttp://dx.doi.org/10.23638/LMCS-13(3:1)2017en_US
dc.rightsCreative Commons Attribution NonCommercial License 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceLogical Methods in Computer Scienceen_US
dc.titleTowards an algebra for cascade effectsen_US
dc.typeArticleen_US
dc.identifier.citationAdam, Elie M. et al. "Towards an algebra for cascade effects." Logical Methods in Computer Science 13, 3 (July 2017): 1-31 © The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.relation.journalLogical Methods in Computer Scienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-05-14T14:21:11Z
dspace.date.submission2019-05-14T14:21:11Z
mit.journal.volume13en_US
mit.journal.issue3en_US


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