Inverse Bayesian inference as a key of consciousness featuring a macroscopic quantum logical structure

Area of Science:

• Cognitive Science
• Quantum Physics
• Philosophy of Mind

Background:

• The mind-body dualism presents a challenge for integrating consciousness into scientific frameworks.
• Macroscopic reality's inconsistency with quantum mechanics limits its application to consciousness studies.
• Existing models struggle to bridge macroscopic cognitive processes with quantum principles.

Purpose of the Study:

• To propose a novel inference system that embeds measurement processes within a physical entity.
• To connect macroscopic cognitive processes with the mathematical structure of quantum mechanics.
• To provide a potential framework for implementing consciousness in science.

Main Methods:

• Development of a measurement-oriented inference system using Bayesian and inverse Bayesian inferences.
• Mathematical formulation linking these inferences to nondistributive orthomodular lattices and quantum logic.
• Demonstration of the model's ability to solve the frame and symbol-grounding problems.

Main Results:

• The proposed system utilizes Bayesian inference to contract probability spaces and inverse Bayesian inference to relax them.
• These inferences generate joint probability patterns equivalent to quantum logic via orthomodular lattices.
• The model establishes a direct link between macroscopic cognitive processes and quantum mechanics without additional assumptions.

Conclusions:

• The developed inference system offers a novel approach to understanding consciousness by integrating cognitive processes with quantum mechanics.
• This model provides a mathematical bridge between macroscopic phenomena and quantum principles, overcoming previous limitations.
• It represents a significant step towards a unified scientific understanding of mind and matter.