Complex systems and health behavior change: insights from cognitive science.

Mark G Orr, David C Plaut
Author Information
  1. Mark G Orr: Columbia University, Department of Epidemiology, Mailman School of Public Health, New York, NY, USA. mo2259@columbia.edu.
  2. David C Plaut: Carnegie Mellon University, Department of Psychology, Pittsburgh, PA, USA.

Abstract

OBJECTIVE: To provide proof-of-concept that quantum health behavior can be instantiated as a computational model that is informed by cognitive science, the Theory of Reasoned Action, and quantum health behavior theory.
METHODS: We conducted a synthetic review of the intersection of quantum health behavior change and cognitive science. We conducted simulations, using a computational model of quantum health behavior (a constraint satisfaction artificial neural network) and tested whether the model exhibited quantum-like behavior.
RESULTS: The model exhibited clear signs of quantum-like behavior.
CONCLUSIONS: Quantum health behavior can be conceptualized as constraint satisfaction: a mitigation between current behavioral state and the social contexts in which it operates. We outlined implications for moving forward with computational models of both quantum health behavior and health behavior in general.

Grants

  1. 1R21HD067570-01/NICHD NIH HHS

MeSH Term

Cognitive Science
Computer Simulation
Health Behavior
Humans
Intention
Risk Reduction Behavior
Social Environment

Word Cloud

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