title: Complex systems and health behavior change: insights from cognitive science.
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.
authors.affiliation: Columbia University, Department of Epidemiology, Mailman School of Public Health, New York, NY, USA. mo2259@columbia.edu.
authors.forename: Mark G
authors.initials: MG
authors.lastname: Orr
authors.affiliation: Carnegie Mellon University, Department of Psychology, Pittsburgh, PA, USA.
authors.forename: David C
authors.initials: DC
authors.lastname: Plaut
mesh_terms: D019336:Cognitive Science; D003198:Computer Simulation; D015438:Health Behavior; D006801:Humans; D033182:Intention; D040242:Risk Reduction Behavior; D012931:Social Environment