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The Law of Observation-The Shiney's Law in Classical and Quantum Models of Information: A Unified Framework for EOD/REOD, CASQ, and Predictive Inversion Theory ; The Shiney's Law of Observation ; Shiney's Law ; EDO & REDO Effect ; Shiney's Law: A Unified Framework for Expectation-Outcome Divergence and Quantum Information Processing

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Τίτλος: The Law of Observation-The Shiney's Law in Classical and Quantum Models of Information: A Unified Framework for EOD/REOD, CASQ, and Predictive Inversion Theory ; The Shiney's Law of Observation ; Shiney's Law ; EDO & REDO Effect ; Shiney's Law: A Unified Framework for Expectation-Outcome Divergence and Quantum Information Processing
Συγγραφείς: Bajpai, N. Shiney Vindhyesh
Στοιχεία εκδότη: Zenodo
Έτος έκδοσης: 2025
Συλλογή: Zenodo
Θεματικοί όροι: Expectation-Outcome Divergence, Reverse Expectation-Outcome Divergence, EOD Effect, REOD Effect, Law of Observation, The Law of Observation, Shiney's Law, The Shiney's Law, Quantum Information Processing, Classical Information Theory, Cebiophical Adjusted State Quotient, Cebiophy, CASQ, Predictive Inversion, Predictive Inversion (Pi Theory), Consciousness, Consciousness Disorders, consciousness models, Observer Effect, Quantum Consciousness, Neural Synchronization, Cognitive Stability, Information Theory, Quantum Measurement Problem, Predictive Coding, Brain-Computer Interfaces, Brain-Computer Interfaces/classification, Brain-Computer Interfaces/psychology, Quantum Biology, Cognitive Disruption
Περιγραφή: This preprint presents a unified theoretical framework integrating classical and quantum models of information processing through the lens of Expectation-Outcome Divergence (EOD) and Reverse Expectation-Outcome Divergence (REOD). Building upon recent developments in quantum information theory and consciousness research, this work establishes the Law of Observation as a fundamental principle governing cognitive disruption across both classical neural mechanisms and quantum-enhanced information processing systems. The framework integrates the Cebiophical Adjusted State Quotient (CASQ) as a universal stability metric:CASQ = k × CEO × SF × SCwhere CEO (Cellular Energy Output), SF (Synchronization Factor), and SC (Structural Complexity) represent the biophysical substrate supporting information processing. Key Contributions: Theoretical Unification: First comprehensive framework integrating classical and quantum models of cognitive information processing under a single theoretical umbrella Mathematical Formalization: Rigorous mathematical treatment of EOD/REOD effects in both classical and quantum contexts, with testable predictions Universal Stability Metric: CASQ provides quantitative assessment of cognitive stability across different theoretical paradigms Empirical Protocols: Comprehensive experimental validation protocols for distinguishing between classical and quantum mechanisms Practical Applications: Framework enables development of new technologies for consciousness assessment, mental health treatment, and AI development The work demonstrates that cognitive stability depends critically on maintaining balanced CASQ values regardless of the underlying classical or quantum substrate, with implications for understanding human consciousness, developing robust AI systems, and advancing quantum information processing technologies. Both models predict similar critical CASQ thresholds and recovery mechanisms through Predictive Inversion (Pi). Empirical Validation: The paper outlines three-phase validation protocols ...
Τύπος εγγράφου: report
Γλώσσα: English
Relation: https://zenodo.org/records/16740234; oai:zenodo.org:16740234; https://doi.org/10.5281/zenodo.16740234
DOI: 10.5281/zenodo.16740234
Διαθεσιμότητα: https://doi.org/10.5281/zenodo.16740234
https://zenodo.org/records/16740234
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode ; Copyright (C) 2025 Shiney Vindhyesh
Αριθμός Καταχώρησης: edsbas.F14D6FA2
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  Data: The Law of Observation-The Shiney's Law in Classical and Quantum Models of Information: A Unified Framework for EOD/REOD, CASQ, and Predictive Inversion Theory ; The Shiney's Law of Observation ; Shiney's Law ; EDO & REDO Effect ; Shiney's Law: A Unified Framework for Expectation-Outcome Divergence and Quantum Information Processing
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  Data: This preprint presents a unified theoretical framework integrating classical and quantum models of information processing through the lens of Expectation-Outcome Divergence (EOD) and Reverse Expectation-Outcome Divergence (REOD). Building upon recent developments in quantum information theory and consciousness research, this work establishes the Law of Observation as a fundamental principle governing cognitive disruption across both classical neural mechanisms and quantum-enhanced information processing systems. The framework integrates the Cebiophical Adjusted State Quotient (CASQ) as a universal stability metric:CASQ = k × CEO × SF × SCwhere CEO (Cellular Energy Output), SF (Synchronization Factor), and SC (Structural Complexity) represent the biophysical substrate supporting information processing. Key Contributions: Theoretical Unification: First comprehensive framework integrating classical and quantum models of cognitive information processing under a single theoretical umbrella Mathematical Formalization: Rigorous mathematical treatment of EOD/REOD effects in both classical and quantum contexts, with testable predictions Universal Stability Metric: CASQ provides quantitative assessment of cognitive stability across different theoretical paradigms Empirical Protocols: Comprehensive experimental validation protocols for distinguishing between classical and quantum mechanisms Practical Applications: Framework enables development of new technologies for consciousness assessment, mental health treatment, and AI development The work demonstrates that cognitive stability depends critically on maintaining balanced CASQ values regardless of the underlying classical or quantum substrate, with implications for understanding human consciousness, developing robust AI systems, and advancing quantum information processing technologies. Both models predict similar critical CASQ thresholds and recovery mechanisms through Predictive Inversion (Pi). Empirical Validation: The paper outlines three-phase validation protocols ...
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  Data: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode ; Copyright (C) 2025 Shiney Vindhyesh
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      – Type: doi
        Value: 10.5281/zenodo.16740234
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Expectation-Outcome Divergence
        Type: general
      – SubjectFull: Reverse Expectation-Outcome Divergence
        Type: general
      – SubjectFull: EOD Effect
        Type: general
      – SubjectFull: REOD Effect
        Type: general
      – SubjectFull: Law of Observation
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      – SubjectFull: The Law of Observation
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      – SubjectFull: Shiney's Law
        Type: general
      – SubjectFull: The Shiney's Law
        Type: general
      – SubjectFull: Quantum Information Processing
        Type: general
      – SubjectFull: Classical Information Theory
        Type: general
      – SubjectFull: Cebiophical Adjusted State Quotient
        Type: general
      – SubjectFull: Cebiophy
        Type: general
      – SubjectFull: CASQ
        Type: general
      – SubjectFull: Predictive Inversion
        Type: general
      – SubjectFull: Predictive Inversion (Pi Theory)
        Type: general
      – SubjectFull: Consciousness
        Type: general
      – SubjectFull: Consciousness Disorders
        Type: general
      – SubjectFull: consciousness models
        Type: general
      – SubjectFull: Observer Effect
        Type: general
      – SubjectFull: Quantum Consciousness
        Type: general
      – SubjectFull: Neural Synchronization
        Type: general
      – SubjectFull: Cognitive Stability
        Type: general
      – SubjectFull: Information Theory
        Type: general
      – SubjectFull: Quantum Measurement Problem
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      – SubjectFull: Predictive Coding
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      – SubjectFull: Brain-Computer Interfaces
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      – SubjectFull: Brain-Computer Interfaces/classification
        Type: general
      – SubjectFull: Brain-Computer Interfaces/psychology
        Type: general
      – SubjectFull: Quantum Biology
        Type: general
      – SubjectFull: Cognitive Disruption
        Type: general
    Titles:
      – TitleFull: The Law of Observation-The Shiney's Law in Classical and Quantum Models of Information: A Unified Framework for EOD/REOD, CASQ, and Predictive Inversion Theory ; The Shiney's Law of Observation ; Shiney's Law ; EDO & REDO Effect ; Shiney's Law: A Unified Framework for Expectation-Outcome Divergence and Quantum Information Processing
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              Type: published
              Y: 2025
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