Quantum Cognition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Quantum Science and Technology".
Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 221
Special Issue Editor
Interests: physics of complex systems; self-organization; emergence; nonlinear dynamics; biological information processing
Special Issue Information
Dear Colleagues,
The new and rapidly emerging field of quantum cognition brings forth the formalism of quantum probability and quantum information, with their associated distinct logical structure, to the modeling of cognitive phenomena. Especially biological information processing related to human conceptual reasoning, apprehension, judgement, and decision-making takes a center stage on this field. Since its conception, as a generalized quantum paradigm, quantum cognition had shed light on important aspects of contextual dependence in inference and deduction. Where traditional modelling techniques failed, produced paradoxes or simply reached ‘non sequitur’ barriers, quantum cognition models have achieved breakthroughs to our understanding. The present issue aims at briefly reviewing these achievements, mapping the territory of its state of the art, and exploring its present frontiers. This Special Issue focuses on probabilistic reasoning related to dynamical models, the relation of quantum-like probabilities to Bayesian inference and its novel varieties, the relevance of the quantum cognition approach on semantic analysis and information retrieval, as well as complex cognitive functioning in the presence of ‘information lateralization’ in decisions under constraints and uncertainty. This Special Issue serves to draw the attention of researchers to related fields, and we even hope that will spark the interest of new researchers that would consider joining this enriching and promising endeavor.
Dr. Vasileios Basios
Guest Editor
Manuscript Submission Information
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Keywords
- quantum cognition
- decision making
- quantum-like logic
- quantum probabilities
- apprehension and judgment
- semantic analysis
