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Self-generated dynamic landscape: The message-receiver interaction case

dc.creatorFuentes, Miguel Angel
dc.creatorMiguel, Hernán
dc.date.accessioned2020-03-20T19:38:57Z
dc.date.accessioned2022-10-15T11:09:07Z
dc.date.available2020-03-20T19:38:57Z
dc.date.available2022-10-15T11:09:07Z
dc.date.created2020-03-20T19:38:57Z
dc.date.issued2013-05
dc.identifierFuentes, Miguel Angel; Miguel, Hernán; Self-generated dynamic landscape: The message-receiver interaction case; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 392; 10; 5-2013; 2492-2497
dc.identifier0378-4371
dc.identifierhttp://hdl.handle.net/11336/100493
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4379169
dc.description.abstractIn the present work we present a model, based on a particular differential stochastic equation, to study the interaction between an incoming message and its interpreter. The particular stochastic dynamic used to understand such process is written using a delayed Langevin equation with white noise. The results of this kind of interaction can be understood in a general framework that we name the self generated dynamic landscape.
dc.languageeng
dc.publisherElsevier Science
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0378437113001131
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.physa.2013.01.060
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectCATEGORIZATION
dc.subjectCONCEPTUAL NETWORK
dc.subjectDYNAMIC LANDSCAPE
dc.subjectINTERPRETATION
dc.subjectLEARNING
dc.subjectSTOCHASTIC
dc.titleSelf-generated dynamic landscape: The message-receiver interaction case
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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