Application of Quantum—Markov Open System Models to Human Cognition and Decision
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Sep 04, 2020
- Source ID
- 10.3390/e22090990
Entities
People
- Jerome Busemeyer
- Qizi Zhang
- S. N. Balakrishnan
- Zheng Wang
Organizations
- Air Force Office of Scientific Research