Contextuality, Incompatibility, and Intra-System Entanglement of Mental Markers

TL;DR

This paper models mental markers using quantum-like formalism to explain how cognitive and emotional components are interconnected, especially under information overload, revealing fundamental structural features of mental processes and decision-making.

Contribution

It introduces a structured quantum-like model of mental markers, emphasizing intra-system entanglement between cognition and emotion, and explores their role in context-dependent judgments and decision shifts.

Findings

Mental markers exhibit nonclassical correlations modeled as entanglement.

Intra-system entanglement influences context-dependent judgments.

The framework links neurobiological overload to quantum-like mental structures.

Abstract

Over the past two decades, quantum-like modeling (QLM) has emerged as a powerful framework for describing non-classical features of cognition and decision-making. Rather than assuming physical quantum processes in the brain, QLM employs the Hilbert space formalism to model contextuality, incompatibility of mental observables, and entanglement-like correlations. In this paper, we develop a quantum-informational model of mental markers within the broader I-field (information field) approach. We propose that, under conditions of information overload and limited cognitive resources, individuals primarily respond not to detailed semantic content but to compact content labels - mental markers - carrying cognitive and affective components. We formalize mental markers as structured quantum-like states and analyze the nonclassical correlations between their cognitive and affective components using the Contextuality-Incompatibility-Entanglement triad. Special attention is given to intra-system entanglement between rational (cognitive) evaluation and emotional (affective) coloring, accounting for context-dependent judgments, order effects, and affect-driven decision shifts. Illustrative examples with psychological interpretation and experimental perspectives are provided. An Appendix briefly discusses neurobiological analogues of information overload in neural networks, highlighting structural parallels with the proposed marker-based framework; coupling to the origin and diagnostics of neurological diseases is analyzed. The paper contributes to QLM by distinguishing inter-system and intra-system entanglement and by demonstrating that cognitive - affective entanglement constitutes a fundamental structural feature of mental markers in socially mediated information environments.