A quantum probabilistic framework for reasoning coherence under contextual variability.

Area of Science:

• Cognitive Science
• Decision Theory
• Quantum Cognition

Background:

• Traditional models of human reasoning assume stability and coherence, but empirical evidence shows consistent violations.
• Real-world reasoning is complex, influenced by social, institutional, and narrative factors, deviating from simple rational models.

Purpose of the Study:

• To propose a structural framework explaining the divergence between rational-order reasoning and observed deviations.
• To formalize evaluative states using quantum probability theory as a representational tool for social cognition.

Main Methods:

• Utilizing quantum probability theory, not as a metaphor, but as a formal representational tool.
• Developing a framework that models indeterminate, context-dependent, and relationally coupled evaluative states.
• Scaling quantum principles to socially and institutionally embedded reasoning, beyond task-level effects.

Main Results:

• Identifies contradiction, interference, entanglement, and resolution as key properties of real-world cognition.
• Demonstrates how quantum formalisms provide a coherent vocabulary for these complex cognitive phenomena.
• Proposes a unified architecture integrating quantum and classical approaches to reasoning.

Conclusions:

• The proposed quantum framework offers a novel explanation for systematic mismatches in human reasoning within social contexts.
• It advances a broader science of reasoning by providing testable designs and a unified theoretical architecture.
• This approach moves beyond viewing deviations as mere noise or bias, offering a structured account of their emergence.