Clues from psychology indicate that human cognition is not only based on classical probability theory as explained by Kolmogorov’s axioms but additionally on quantum probability. We explore the relation between the law of total probability and its violation resulting in the law of total quantum probability. The violation results from an additional interference that influences the classical probabilities. Outgoing from this exploration we introduce a balanced Bayesian quantum-like model that is based on probability waves. The law of maximum uncertainty indicates how to choose a possible phase value of the wave resulting in a meaningful probability value.
CITATION STYLE
Wichert, A., & Moreira, C. (2019). Balanced Quantum-Like Model for Decision Making. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11690 LNCS, pp. 79–90). Springer. https://doi.org/10.1007/978-3-030-35895-2_6
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