Quantum cognition based on an ambiguous representation derived from a rough set approximation

  title={Quantum cognition based on an ambiguous representation derived from a rough set approximation},
  author={Yukio-Pegio Gunji and Kohei Sonoda and Vasileios Basios},
  journal={Bio Systems},
Concept Formation and Quantum-like Probability from Nonlocality in Cognition
Human decision-making is relevant for concept formation and cognitive illusions. Cognitive illusions can be explained by quantum probability, while the reason for introducing quantum mechanics is
Chaotic dynamics in biological information processing: Revisiting and revealing its logic (a mini-review).
It is demonstrated, by utilizing a minimal model for apprehension and judgement related to Bayesian updating, that the fundamental characteristics of a biological processor obey an extended, non-Boolean, logic which is characterized as a quantum logic.
Quantum aspects of high dimensional formal representation of conceptual spaces.
The proposed model of high dimensional formal representation of conceptual space is mathematically analysed and inferred to exhibit quantum aspects and achieves cognition, in particular, consciousness.
Rough set classification based on quantum logic
  • Y. Hassan
  • Computer Science
    J. Exp. Theor. Artif. Intell.
  • 2017
Theoretical analyses demonstrate that the new model for quantum rough sets has new type of decision rule with less redundancy which can be used to give accurate classification using principles of quantum superposition and non-linear quantum relations.
Reconciling Physics and Biology
It is proposed that when biology is properly considered in the context of informational ambiguity and cell–cell communication across levels, there can be a productive unification of biology and quantum physics.
Free will in Bayesian and inverse Bayesian inference-driven endo-consciousness.


Quantum Models of Cognition and Decision
The foundations for modelling probabilistic-dynamic systems using two aspects of quantum theory, 'contextuality' and 'quantum entanglement', are introduced, which allow cognitive phenomena to be modeled in non-reductionist ways.
Complexity, information loss, and model building: from neuro- to cognitive dynamics
  • F. Arecchi
  • Computer Science
    SPIE International Symposium on Fluctuations and Noise
  • 2007
A scientific problem described within a given code is mapped by a corresponding computational problem, We call complexity (algorithmic) the bit length of the shortest instruction which solves the
Chaotic Neuron Dynamics, Synchronization, and Feature Binding: Quantum Aspects
A novel conjecture for the dynamics of single neurons and, consequently, for neuron assemblies is formulated and it is conjectured that they are related to the details of the perceptual chain rather than depending on Planck’s action.
Can Quantum Information be Processed by Macroscopic Systems?
We present a quantum-like (QL) model in that contexts (complexes of e.g. mental, social, biological, economic or even political conditions) are represented by complex probability amplitudes. This
Feature binding as neuron synchronization: Quantum aspects
Coding of different percepts by synchronized spike trains entails fundamental quantum features with a quantum constant related to the details of the perceptual chain and very different from Planck's action.
Cognition and Language: From Apprehension to Judgment -- Quantum Conjectures
We critically discuss the two moments of human cognition, namely, apprehension (A),whereby a coherent perception emerges from the recruitment of neuronal groups, and judgment(B),that entails the
Can quantum probability provide a new direction for cognitive modeling?
The thesis is that quantum probability theory provides a more accurate and powerful account of certain cognitive processes than classical probability theory, and this work discusses ways in which QP and CP theories converge.
Quantum Structure in Cognition: Why and How Concepts Are Entangled
It is shown that the intrinsic and unavoidable character of entanglement can be explained in terms of the weights of the exemplars of the combined concept with respect to the weightsof the exemplar of the component concepts.
Identifying Quantum Structures in the Ellsberg Paradox
Empirical evidence has confirmed that quantum effects occur frequently also outside the microscopic domain, while quantum structures satisfactorily model various situations in several areas of