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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todo:paper_03784371_v392_n10_p2492_Fuentes2023-10-03T15:33:01Z Self-generated dynamic landscape: The message-receiver interaction case Fuentes, M.A. Miguel, H. 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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 Fuentes, M.A. Miguel, H. 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. |
format |
JOUR |
author |
Fuentes, M.A. Miguel, H. |
author_facet |
Fuentes, M.A. Miguel, H. |
author_sort |
Fuentes, M.A. |
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 |
url |
http://hdl.handle.net/20.500.12110/paper_03784371_v392_n10_p2492_Fuentes |
work_keys_str_mv |
AT fuentesma selfgenerateddynamiclandscapethemessagereceiverinteractioncase AT miguelh selfgenerateddynamiclandscapethemessagereceiverinteractioncase |
_version_ |
1807324362593796096 |