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Application of Quantum—Markov Open System Models to Human Cognition and Decision
Markov processes, such as random walk models, have been successfully used by cognitive and neural scientists to model human choice behavior and decision time for over 50 years. Recently, quantum walk models have been introduced as an alternative way to model the dynamics of human choice and confiden...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597313/ https://www.ncbi.nlm.nih.gov/pubmed/33286759 http://dx.doi.org/10.3390/e22090990 |
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author | Busemeyer, Jerome Zhang, Qizi Balakrishnan, S. N. Wang, Zheng |
author_facet | Busemeyer, Jerome Zhang, Qizi Balakrishnan, S. N. Wang, Zheng |
author_sort | Busemeyer, Jerome |
collection | PubMed |
description | Markov processes, such as random walk models, have been successfully used by cognitive and neural scientists to model human choice behavior and decision time for over 50 years. Recently, quantum walk models have been introduced as an alternative way to model the dynamics of human choice and confidence across time. Empirical evidence points to the need for both types of processes, and open system models provide a way to incorporate them both into a single process. However, some of the constraints required by open system models present challenges for achieving this goal. The purpose of this article is to address these challenges and formulate open system models that have good potential to make important advancements in cognitive science. |
format | Online Article Text |
id | pubmed-7597313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75973132020-11-09 Application of Quantum—Markov Open System Models to Human Cognition and Decision Busemeyer, Jerome Zhang, Qizi Balakrishnan, S. N. Wang, Zheng Entropy (Basel) Article Markov processes, such as random walk models, have been successfully used by cognitive and neural scientists to model human choice behavior and decision time for over 50 years. Recently, quantum walk models have been introduced as an alternative way to model the dynamics of human choice and confidence across time. Empirical evidence points to the need for both types of processes, and open system models provide a way to incorporate them both into a single process. However, some of the constraints required by open system models present challenges for achieving this goal. The purpose of this article is to address these challenges and formulate open system models that have good potential to make important advancements in cognitive science. MDPI 2020-09-04 /pmc/articles/PMC7597313/ /pubmed/33286759 http://dx.doi.org/10.3390/e22090990 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Busemeyer, Jerome Zhang, Qizi Balakrishnan, S. N. Wang, Zheng Application of Quantum—Markov Open System Models to Human Cognition and Decision |
title | Application of Quantum—Markov Open System Models to Human Cognition and Decision |
title_full | Application of Quantum—Markov Open System Models to Human Cognition and Decision |
title_fullStr | Application of Quantum—Markov Open System Models to Human Cognition and Decision |
title_full_unstemmed | Application of Quantum—Markov Open System Models to Human Cognition and Decision |
title_short | Application of Quantum—Markov Open System Models to Human Cognition and Decision |
title_sort | application of quantum—markov open system models to human cognition and decision |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597313/ https://www.ncbi.nlm.nih.gov/pubmed/33286759 http://dx.doi.org/10.3390/e22090990 |
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