Abstract
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.
Recommended Citation
J. Busemeyer et al., "Application of Quantum-Markov Open System Models to Human Cognition and Decision," Entropy, vol. 22, no. 9, MDPI, Sep 2020.
The definitive version is available at https://doi.org/10.3390/e22090990
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Choice behavior; Confidence; Decision time; Evidence accumulation; Markov random walk; Open system models; Preference accumulation; Quantum walk
International Standard Serial Number (ISSN)
1099-4300
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2020 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Sep 2020
Comments
Air Force Office of Scientific Research, Grant FA9550-20-1-0027