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1. Verfasser: Goukassian, lev
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2026
Schlagworte:
Online-Zugang:https://doi.org/10.5281/zenodo.19770872
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author Goukassian, lev
author_facet Goukassian, lev
contents <p><span>This report analyzes </span><span>Ternary Logic (TL)</span><span> as a comprehensive computational governance architecture for high-stakes automated decision-making systems, evaluating its capacity to operate across software, hardware, and institutional layers. The foundational innovation—the </span><span>Epistemic Hold (0) state</span><span>—enables structured uncertainty management through formal computational hesitation, physically realized via </span><span>Delay Insensitive Ternary Logic (DITL)</span><span> hardware. Drawing on technical documentation from the TernaryLogic framework, peer-reviewed DITL circuit research, and hardware implementation studies, this analysis assesses whether native triadic computational architectures (+1, 0, −1) can serve as enforceable governance mechanisms for financial infrastructure, supply chain verification, regulatory compliance automation, and advanced artificial intelligence systems. The evaluation encompasses semiconductor feasibility, formal verification methodologies, failure mode analysis, and comparative assessment against alternative governance approaches including blockchain systems, trusted execution environments, and pure software governance. Key findings indicate that </span><span>TL's hardware-enforced hesitation, combined with tri-cameral institutional oversight and immutable evidentiary architectures, yields a constitutional substrate robust under recursive self-improvement and decentralized intelligence scenarios</span><span>.</span></p>
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spellingShingle Ternary Logic as Constitutional Substrate: A Triadic Computational Governance Architecture for High-Stakes Automated Decision-Making
Goukassian, lev
No Switch Off
Smart Contract Treasury
Automated Decision-Making
Triadic Architecture
DITL
Goukassian Principle
Epistemic Hold
Constitutional Governance
Ternary Logic
Goukassian Principle
<p><span>This report analyzes </span><span>Ternary Logic (TL)</span><span> as a comprehensive computational governance architecture for high-stakes automated decision-making systems, evaluating its capacity to operate across software, hardware, and institutional layers. The foundational innovation—the </span><span>Epistemic Hold (0) state</span><span>—enables structured uncertainty management through formal computational hesitation, physically realized via </span><span>Delay Insensitive Ternary Logic (DITL)</span><span> hardware. Drawing on technical documentation from the TernaryLogic framework, peer-reviewed DITL circuit research, and hardware implementation studies, this analysis assesses whether native triadic computational architectures (+1, 0, −1) can serve as enforceable governance mechanisms for financial infrastructure, supply chain verification, regulatory compliance automation, and advanced artificial intelligence systems. The evaluation encompasses semiconductor feasibility, formal verification methodologies, failure mode analysis, and comparative assessment against alternative governance approaches including blockchain systems, trusted execution environments, and pure software governance. Key findings indicate that </span><span>TL's hardware-enforced hesitation, combined with tri-cameral institutional oversight and immutable evidentiary architectures, yields a constitutional substrate robust under recursive self-improvement and decentralized intelligence scenarios</span><span>.</span></p>
title Ternary Logic as Constitutional Substrate: A Triadic Computational Governance Architecture for High-Stakes Automated Decision-Making
topic No Switch Off
Smart Contract Treasury
Automated Decision-Making
Triadic Architecture
DITL
Goukassian Principle
Epistemic Hold
Constitutional Governance
Ternary Logic
Goukassian Principle
url https://doi.org/10.5281/zenodo.19770872