Complex Systems and Health Behavior Change: Insights from Cognitive Science

Authored by Mark G. Orr, David C. Plaut

Date Published: 2014-05

DOI: 10.5993/ajhb.38.3.9

Sponsors: United States National Institutes of Health (NIH)

Platforms: No platforms listed

Model Documentation: Other Narrative

Model Code URLs: Model code not found

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.

Tags

Agent-based modeling Complex systems Computational Modeling behavior change cognitive science health behavior quantum change