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Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis
Thus the cognitive process exhibits "quantum-like" biases that cannot be captured by classical probability theories.
Kernel Method based on Non-Linear Coherent State
In this paper, by mapping datasets to a set of non-linear coherent states, the process of encoding inputs in quantum states as a non-linear feature map is re-interpreted.
Construction of 'Support Vector' Machine Feature Spaces via Deformed Weyl-Heisenberg Algebra
This paper uses deformed coherent states, based on a deformed Weyl-Heisenberg algebra that unifies the well-known SU(2), Weyl-Heisenberg, and SU(1, 1) groups, through a common parameter.
Quantum-like Structure in Multidimensional Relevance Judgements
A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory.
Modelling Dynamic Interactions between Relevance Dimensions
We study the interaction between the relevance dimensions using the mathematical framework of Quantum Theory.
Towards a Quantum-Like Cognitive Architecture for Decision-Making
We propose an alternative and unifying framework for decision-making that, by using quantum mechanics, provides more generalised cognitive and decision models with the ability to represent more information than classical models.
