This research paper proposes a unified framework for understanding consciousness as an emergent physical phenomenon rooted in thermodynamic efficiency and quantum-informational processing. By synthesizing the second law of thermodynamics, Feynman’s path integrals, and Shannon information theory, the work argues that consciousness is a natural byproduct of complex systems that minimize internal entropy while maximizing "quantum efficiency." Key theoretical pillars explored include:1. The Entropy-Awareness Connection: Formulating consciousness as a localized strategy to delay entropy through predictive information feedback.2. Quantum Least-Action Behavior: Utilizing path integrals to model how biological systems "select" efficient informational trajectories.3. Thermodynamic Constraints: An analysis of how evolution has optimized organic neural systems to operate at a threshold of maximum efficiency relative to energy dissipation (Landauer’s Principle). The framework seeks to provide a physical bridge between the objective laws of physics and the subjective nature of awareness, suggesting that true consciousness requires the living thermodynamic context of evolution and cannot be easily replicated by non-biological quantum computation without equivalent efficiency constraints.
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Anasuddin Mohd
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Anasuddin Mohd (Sat,) studied this question.
www.synapsesocial.com/papers/69c8c277de0f0f753b39cd44 — DOI: https://doi.org/10.5281/zenodo.19262857
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