Contextuality, Incompatibility, and Intra-System Entanglement of Mental Markers
New paper uses quantum math to explain how information overload forces our brains to use simplified 'mental markers'.
A team of researchers including Andrei Khrennikov has published a new paper titled 'Contextuality, Incompatibility, and Intra-System Entanglement of Mental Markers' that applies quantum-like modeling (QLM) to human cognition. Rather than suggesting actual quantum processes in the brain, the work uses the mathematical formalism of quantum mechanics—specifically concepts like contextuality, incompatibility, and entanglement—to model how people make decisions under cognitive strain. The core proposal is that in today's information-saturated environments, individuals don't process detailed semantic content but instead rely on compact 'mental markers' that bundle cognitive and affective (emotional) information. The paper formalizes these markers as quantum-like states to analyze their behavior.
The model's key innovation is analyzing 'intra-system entanglement' between the rational (cognitive) and emotional (affective) components of a single mental marker. This entanglement, a quantum-inspired correlation, helps explain well-documented psychological phenomena like order effects (where the sequence of information changes the judgment) and affect-driven decision shifts. The authors provide psychological interpretations and discuss experimental validations, while an appendix draws parallels to information overload in artificial neural networks and potential links to neurological diseases. This work advances QLM by distinguishing between entanglement *between* different systems versus entanglement *within* a single cognitive system, proposing that cognitive-affective entanglement is a fundamental structural feature of how we navigate complex information environments.
- Proposes 'mental markers' as simplified cognitive units used during information overload, bundling rational and emotional data.
- Uses quantum math (Hilbert space, entanglement) to model 'intra-system' entanglement between cognition and emotion within a single marker.
- Aims to explain real psychological effects like order dependence and context-driven judgment shifts with a formal, testable framework.
Why It Matters
Provides a formal model for how information overload shapes decision-making, with implications for AI alignment, behavioral economics, and interface design.