Evidence map›Paper›PMID 33286759›Full record

ArticleEntropy (Basel, Switzerland)2020

Application of Quantum-Markov Open System Models to Human Cognition and Decision.

Jerome Busemeyer, Qizi Zhang, S N Balakrishnan, Zheng Wang

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jerome BusemeyerDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.ORCID 0000-0002-7594-1871
Qizi ZhangDepartment of Mechanical and Aerospace Engineering, Missiouri University of Science Technology, Rolla, MO 65401, USA.
S N BalakrishnanDepartment of Mechanical Engineering, Missiouri University of Science Technology, Rolla, MO 65401, USA.
Zheng WangCenter for Brain and Cognitive, Translational Data Analytics Institute, School of Communication, The Ohio State University, Columbus, OH 43210, USA.

Funding

Air Force Office of Scientific Research FA9550-20-1-0027
6 · The paper itself

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.

Indexed as

choice behaviorconfidencedecision timeevidence accumulationMarkov random walkopen system modelspreference accumulationquantum walk

Identifiers

PMID33286759
PMCPMC7597313

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.