Editorial: Predictive modeling of cognition and behavior on quantum principles
Abstract
By taking advantage of quantum-like structures of cognitive state spaces expressed in simple and coherent mathematical form, the quantum cognition approach succeeds in many modeling tasks which are typically highly problematic for traditional methods. Quantum cognition allows to build quantitative models of irrational decisions and cognitive fallacies; the semantics of natural language; unexpected game equilibria and economic behavior; bioinformatics and artificial intelligence, and other areas.However, many of the existing quantum-inspired models do not have wide practical applications due to their lack of predictive power. They provide conceptual explanations of behavioral and cognitive phenomena and succeed in the post-factum fitting of experimental results, but fail to prognose these results in advance. Achieving a level of predictive quality could drastically increase the practicality of quantum models in decision support systems whether they occur in settings such as economics, robotics, information retrieval or other areas of modern technology.The important pieces for resolving this puzzle are expected to be sourced from the modeling of cognitive mechanisms of prognosis, pro-active thinking, decision-and meaning-making activities of living systems. Contributions to this Special Issue build a lot on those valuable connections. Interesting many-sided conversations arise in the ontologyversus-epistemology perspective, both fundamental and applied, which is the most…
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