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quantum cognition
Quantum cognition is an emerging field which applies the mathematical formalism of quantum theory to model cognitive phenomena such as information processing by the human brain, decision making, human memory, concepts and conceptual reasoning, human judgment, and perception.〔Khrennikov, A. "Ubiquitous Quantum Structure: from Psychology to Finances". Springer, 2010.〕〔Busemeyer, J., Bruza, P. (2012), Quantum Models of Cognition and Decision, Cambridge University Press, Cambridge.〕
〔Pothos, E. M., & Busemeyer, J. R. (2013). Can quantum probability provide a new direction for cognitive modeling. Behavioral and Brain Sciences,36,255-274.〕〔Wang, Z., Busemeyer, J. R., Atmanspacher, H., & Pothos, E. M. (2013). The potential of using quantum theory to build models of cognition. Topics in Cognitive Science, 5(4), 672-688.〕 The field clearly distinguishes itself from the quantum mind as it is not reliant on the hypothesis that there is something micro-physical quantum mechanical about the brain. Quantum cognition is based on the quantum-like paradigm〔Khrennikov, A. 2006. Quantum-like brain: “Interference of minds” Biosystems , vol. 84, no. 3, pp. 225-241〕〔Khrennikov, A. Information Dynamics in Cognitive, Psychological, Social, and Anomalous Phenomena (Fundamental Theories of Physics) (Volume 138), Kluwer, 2004.〕 or generalized quantum paradigm 〔Atmanspacher, H., Römer, H., & Walach, H. (2002). Weak quantum theory: Complementarity and entanglement in physics and beyond. Foundations of Physics, 32(3), 379-406.〕 or quantum structure paradigm 〔Aerts, D. & Aerts, S. (1994) Applications of quantum statistics in psychological studies of decision processes. Foundations of Science, 1, 85-97.〕 that information processing by complex systems such as the brain, taking into account contextual dependence of information and probabilistic reasoning, can be mathematically described in the framework of quantum information and quantum probability theory.
Quantum cognition uses the mathematical formalism of quantum theory to inspire and formalize models of cognition that aim to be an advance over models based on traditional classical probability theory. The field focuses on modeling phenomena in cognitive science that have resisted traditional techniques or where traditional models seem to have reached a barrier (e.g., human memory 〔Bruza, P., Kitto, K., Nelson, D., & McEvoy, C. (2009). Is there something quantum-like about the human mental lexicon?. ''Journal of Mathematical Psychology,'' 53(5), 362-377.〕 ), and modeling preferences in decision theory that seem paradoxical from a traditional rational point of view (e.g., preference reversals 〔Lambert Mogiliansky, A., Zamir, S., & Zwirn, H. (2009). Type indeterminacy: A model of the KT (Kahneman–Tversky)-man. Journal of Mathematical Psychology, 53(5), 349-361.〕). Since the use of a quantum-theoretic framework is for modeling purposes, the identification of quantum structures in cognitive phenomena does not presuppose the existence of microscopic quantum processes in the human brain.〔de Barros, J. A., Suppes, P. (2009). Quantum mechanics, interference, and the brain. ''Journal of Mathematical Psychology 53'' (5), 306-313.〕
==Main subjects of research ==
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