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Ecologically Relevant Decisions and Personality Configurations: A Theoretical-Clinical Proposal Considering Quantum
Raffaele Sperandeo1, Lucia Luciana Mosca2, Chiara Scognamiglio2
1Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples Federico II, 80131 Naples, Italy.
The study explores how unconscious processes influence decisions, showing awareness arises after brain activity begins. It proposes the Quantum Cognition (QC) model to explain complex mind dynamics.
Area of Science:
- Cognitive Science
- Neuroscience
- Theoretical Psychology
Background:
- Human mental states involve dynamic interactions between conscious and unconscious cognitive processes.
- Implicit, non-conscious processes significantly impact information processing speed, emotional reactions, and intention formation.
- Brain activity preceding decisions occurs before conscious awareness of intent, suggesting awareness follows decision-making.
Purpose of the Study:
- To propose the Quantum Cognition (QC) model as a formal framework for understanding the mind.
- To describe the mind as a dynamic, probabilistic, and context-sensitive system.
- To offer an alternative to classical logic for explaining complex cognitive phenomena.
Main Methods:
- Review and theoretical proposal of the Quantum Cognition (QC) model.
- Analysis of cognitive phenomena through the lens of quantum principles.
- Formal strategy development for modeling mental states.
Main Results:
- The QC model provides a framework to understand cognitive phenomena like ambivalence and shifting perspectives.
- It highlights the probabilistic and context-dependent nature of mental states.
- Demonstrates how implicit processes shape conscious experience and decision-making.
Conclusions:
- The Quantum Cognition model offers a powerful approach to formalizing the complexities of the human mind.
- It better accounts for the interplay of conscious and unconscious factors in cognition.
- Suggests a paradigm shift from classical logic to probabilistic models for cognitive science.
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