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

In 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. T...

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Guardado en:
Detalles Bibliográficos
Publicado: 2013
Materias:
Categorization
Conceptual network
Dynamic landscape
Interpretation
Learning
Stochastic
Langevin equation
Stochastic dynamics
Stochastic equations
Differential equations
Stochastic systems
White noise
Stochastic models
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03784371_v392_n10_p2492_Fuentes
http://hdl.handle.net/20.500.12110/paper_03784371_v392_n10_p2492_Fuentes
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_03784371_v392_n10_p2492_Fuentes
record_format dspace
spelling paper:paper_03784371_v392_n10_p2492_Fuentes2023-06-08T15:40:17Z Self-generated dynamic landscape: The message-receiver interaction case Categorization Conceptual network Dynamic landscape Interpretation Learning Stochastic Categorization Interpretation Langevin equation Learning Stochastic Stochastic dynamics Stochastic equations Differential equations Stochastic systems White noise Stochastic models In 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. © 2013 Elsevier B.V. All rights reserved. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03784371_v392_n10_p2492_Fuentes http://hdl.handle.net/20.500.12110/paper_03784371_v392_n10_p2492_Fuentes
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Categorization
Conceptual network
Dynamic landscape
Interpretation
Learning
Stochastic
Categorization
Interpretation
Langevin equation
Learning
Stochastic
Stochastic dynamics
Stochastic equations
Differential equations
Stochastic systems
White noise
Stochastic models
spellingShingle Categorization
Conceptual network
Dynamic landscape
Interpretation
Learning
Stochastic
Categorization
Interpretation
Langevin equation
Learning
Stochastic
Stochastic dynamics
Stochastic equations
Differential equations
Stochastic systems
White noise
Stochastic models
Self-generated dynamic landscape: The message-receiver interaction case
topic_facet Categorization
Conceptual network
Dynamic landscape
Interpretation
Learning
Stochastic
Categorization
Interpretation
Langevin equation
Learning
Stochastic
Stochastic dynamics
Stochastic equations
Differential equations
Stochastic systems
White noise
Stochastic models
description In 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. © 2013 Elsevier B.V. All rights reserved.
title Self-generated dynamic landscape: The message-receiver interaction case
title_short Self-generated dynamic landscape: The message-receiver interaction case
title_full Self-generated dynamic landscape: The message-receiver interaction case
title_fullStr Self-generated dynamic landscape: The message-receiver interaction case
title_full_unstemmed Self-generated dynamic landscape: The message-receiver interaction case
title_sort self-generated dynamic landscape: the message-receiver interaction case
publishDate 2013
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03784371_v392_n10_p2492_Fuentes
http://hdl.handle.net/20.500.12110/paper_03784371_v392_n10_p2492_Fuentes
_version_ 1768543706564001792

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