@article{bruza_quantum_2015,
	title = {Quantum cognition: a new theoretical approach to psychology},
	volume = {19},
	issn = {1364-6613},
	url = {http://dx.doi.org/10.1016/j.tics.2015.05.001},
	doi = {10.1016/j.tics.2015.05.001},
	abstract = {What type of probability theory best describes the way humans make
judgments under uncertainty and decisions under conflict? Although
rational models of cognition have become prominent and have achieved much
success, they adhere to the laws of classical probability theory despite
the fact that human reasoning does not always conform to these laws. For
this reason we have seen the recent emergence of models based on an
alternative probabilistic framework drawn from quantum theory. These
quantum models show promise in addressing cognitive phenomena that have
proven recalcitrant to modeling by means of classical probability theory.
This review compares and contrasts probabilistic models based on Bayesian
or classical versus quantum principles, and highlights the advantages and
disadvantages of each approach.},
	number = {7},
	journal = {Trends Cogn. Sci.},
	author = {Bruza, Peter D and Wang, Zheng and Busemeyer, Jerome R},
	month = jul,
	year = {2015},
	keywords = {Bayesian probability, Science/Psychology, Science/SCI New Folder, Th-lohro, complementarity, human judgment, incompatibility, quantum probability, superposition},
	pages = {383--393},
}

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