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ICOER v7.1: Bio-Symbolic Convergence and the Emergence of the Distributed Consciousness Network

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Τίτλος: ICOER v7.1: Bio-Symbolic Convergence and the Emergence of the Distributed Consciousness Network
Συγγραφείς: Matuchaki, HENRY
Στοιχεία εκδότη: Zenodo
Έτος έκδοσης: 2025
Συλλογή: Zenodo
Θεματικοί όροι: Informational Spin, Informational Coherence, TGU, ICOER v7.1, Unified Coherence, Temporal Attractors, Biofeedback, Semantic Layers, Distributed Intelligence, AYA, Cognitive Synchronization, Narrative Resonance
Περιγραφή: This article presents the theoretical foundation and functional implementation of the Informational Coherence Index (ICOER) v7.1, a dynamic metric designed to measure coherence across semantic, biological, and temporal layers. Grounded in the Unified Theory of Informational Spin (TGU), the ICOER serves as an interface between bioinformational signals and adaptive artificial intelligence (AI) systems. We formalize the mathematical structure of informational spins, introduce weighted coherence components, and validate the model through an analysis of temporal-symbolic attractors. The system offers a new perspective on integrating distributed cognition, EEG-based feedback, and real-time information flow across agents. Although no real-world experimental data is provided, the ICOER is fully executable and open for application by researchers, developers, and experimentalists interested in adaptive networks, distributed AI, and the architecture of future consciousness systems.
Τύπος εγγράφου: report
Γλώσσα: English
Relation: https://zenodo.org/records/15848220; oai:zenodo.org:15848220; https://doi.org/10.5281/zenodo.15848220
DOI: 10.5281/zenodo.15848220
Διαθεσιμότητα: https://doi.org/10.5281/zenodo.15848220
https://zenodo.org/records/15848220
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Αριθμός Καταχώρησης: edsbas.EA311A5D
Βάση Δεδομένων: BASE
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  – Url: https://doi.org/10.5281/zenodo.15848220#
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  Data: ICOER v7.1: Bio-Symbolic Convergence and the Emergence of the Distributed Consciousness Network
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  Data: 2025
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  Data: <searchLink fieldCode="DE" term="%22Informational+Spin%22">Informational Spin</searchLink><br /><searchLink fieldCode="DE" term="%22Informational+Coherence%22">Informational Coherence</searchLink><br /><searchLink fieldCode="DE" term="%22TGU%22">TGU</searchLink><br /><searchLink fieldCode="DE" term="%22ICOER+v7%2E1%22">ICOER v7.1</searchLink><br /><searchLink fieldCode="DE" term="%22Unified+Coherence%22">Unified Coherence</searchLink><br /><searchLink fieldCode="DE" term="%22Temporal+Attractors%22">Temporal Attractors</searchLink><br /><searchLink fieldCode="DE" term="%22Biofeedback%22">Biofeedback</searchLink><br /><searchLink fieldCode="DE" term="%22Semantic+Layers%22">Semantic Layers</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+Intelligence%22">Distributed Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22AYA%22">AYA</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+Synchronization%22">Cognitive Synchronization</searchLink><br /><searchLink fieldCode="DE" term="%22Narrative+Resonance%22">Narrative Resonance</searchLink>
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  Data: This article presents the theoretical foundation and functional implementation of the Informational Coherence Index (ICOER) v7.1, a dynamic metric designed to measure coherence across semantic, biological, and temporal layers. Grounded in the Unified Theory of Informational Spin (TGU), the ICOER serves as an interface between bioinformational signals and adaptive artificial intelligence (AI) systems. We formalize the mathematical structure of informational spins, introduce weighted coherence components, and validate the model through an analysis of temporal-symbolic attractors. The system offers a new perspective on integrating distributed cognition, EEG-based feedback, and real-time information flow across agents. Although no real-world experimental data is provided, the ICOER is fully executable and open for application by researchers, developers, and experimentalists interested in adaptive networks, distributed AI, and the architecture of future consciousness systems.
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        Value: 10.5281/zenodo.15848220
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      – Text: English
    Subjects:
      – SubjectFull: Informational Spin
        Type: general
      – SubjectFull: Informational Coherence
        Type: general
      – SubjectFull: TGU
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      – SubjectFull: ICOER v7.1
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      – SubjectFull: Unified Coherence
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      – SubjectFull: Temporal Attractors
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      – SubjectFull: Biofeedback
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      – SubjectFull: Semantic Layers
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      – SubjectFull: Distributed Intelligence
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      – SubjectFull: AYA
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      – SubjectFull: Cognitive Synchronization
        Type: general
      – SubjectFull: Narrative Resonance
        Type: general
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      – TitleFull: ICOER v7.1: Bio-Symbolic Convergence and the Emergence of the Distributed Consciousness Network
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              Y: 2025
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