In Search of Chaos and Complexity of a Cognitive Language-Learning System

In this article, we investigate the long-term dynamics of a known cognitive-based language-learning system under the variation of a system parameter. Stability of the equilibrium points is studied. Period root to chaos is investigated by bifurcation analysis. A Lyapunov analysis is performed to veri...

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Main Authors: Gaofei Luo, Sayan Mukherjee
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/7169597
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author Gaofei Luo
Sayan Mukherjee
author_facet Gaofei Luo
Sayan Mukherjee
author_sort Gaofei Luo
collection DOAJ
description In this article, we investigate the long-term dynamics of a known cognitive-based language-learning system under the variation of a system parameter. Stability of the equilibrium points is studied. Period root to chaos is investigated by bifurcation analysis. A Lyapunov analysis is performed to verify the complex dynamics in the system. Existence of chaos is confirmed by 0-1 test. A noise-induced cognitive phenomenon is proposed under the effect of power noise. Chaotic and nonchaotic dynamics are explored in the noise-induced system. Furthermore, disorder as well as complexity, are investigated for both the systems using the concept of weighted recurrence. The whole analysis can be effective to understand the dynamical features and nonlinear structure of the cognitive language-learning model.
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institution Kabale University
issn 1076-2787
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spelling doaj-art-38976218a59a4c70b9207c9b8da17e022025-02-03T00:58:57ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/71695977169597In Search of Chaos and Complexity of a Cognitive Language-Learning SystemGaofei Luo0Sayan Mukherjee1School of Foreign Languages, Shaoyang University, Shaoyang 422000, ChinaDepartment of Mathematics, Sivanath Sastri College, Kolkata, IndiaIn this article, we investigate the long-term dynamics of a known cognitive-based language-learning system under the variation of a system parameter. Stability of the equilibrium points is studied. Period root to chaos is investigated by bifurcation analysis. A Lyapunov analysis is performed to verify the complex dynamics in the system. Existence of chaos is confirmed by 0-1 test. A noise-induced cognitive phenomenon is proposed under the effect of power noise. Chaotic and nonchaotic dynamics are explored in the noise-induced system. Furthermore, disorder as well as complexity, are investigated for both the systems using the concept of weighted recurrence. The whole analysis can be effective to understand the dynamical features and nonlinear structure of the cognitive language-learning model.http://dx.doi.org/10.1155/2020/7169597
spellingShingle Gaofei Luo
Sayan Mukherjee
In Search of Chaos and Complexity of a Cognitive Language-Learning System
Complexity
title In Search of Chaos and Complexity of a Cognitive Language-Learning System
title_full In Search of Chaos and Complexity of a Cognitive Language-Learning System
title_fullStr In Search of Chaos and Complexity of a Cognitive Language-Learning System
title_full_unstemmed In Search of Chaos and Complexity of a Cognitive Language-Learning System
title_short In Search of Chaos and Complexity of a Cognitive Language-Learning System
title_sort in search of chaos and complexity of a cognitive language learning system
url http://dx.doi.org/10.1155/2020/7169597
work_keys_str_mv AT gaofeiluo insearchofchaosandcomplexityofacognitivelanguagelearningsystem
AT sayanmukherjee insearchofchaosandcomplexityofacognitivelanguagelearningsystem