The Dual Engine IA Framework 3.0 represents an inter-institutional semantic core designed for cross-agency scientific validation and predictive assessment. This TRL 9 Transition Report documents the framework's full operational demonstration under ESA, NASA, and EIIS standards. The dual-core system integrates a semantic engine for formal logic and compliance analysis (ECSS / NASA-STD / EIIS ontology) with a predictive engine for computational and uncertainty evaluation following ISO GUM. Cross-validation confirms functional coherence and operational readiness. The framework is now eligible for institutional deployment within space, astrophysics, and nuclear systems domains. Keywords: TRL 9, semantic AI, ESA compliance, NASA validation, EIIS framework, verification and validation, cross-agency standards

Anne Povie ()
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Abstract: The Dual Engine IA Framework 3.0 represents an inter-institutional semantic core designed for cross-agency scientific validation and predictive assessment. This TRL 9 Transition Report documents the framework's full operational demonstration under ESA, NASA, and EIIS standards. The dual-core system integrates a semantic engine for formal logic and compliance analysis (ECSS / NASA-STD / EIIS ontology) with a predictive engine for computational and uncertainty evaluation following ISO GUM. Cross-validation confirms functional coherence and operational readiness. The framework is now eligible for institutional deployment within space, astrophysics, and nuclear systems domains. Keywords: TRL 9, semantic AI, ESA compliance, NASA validation, EIIS framework, verification and validation, cross-agency standards.

Keywords: #tlr8/9; STROBE; #prisma; #EIIS; NASA; Esa; #AI; #dual engine; #tlr7; #framework (search for similar items in EconPapers)
Date: 2025
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Published in The Dual Engine IA Framework 3.0 represents an inter-institutional semantic core designed for cross-agency scientific validation and predictive assessment. This TRL 9 Transition Report documents the framework's full operational demonstration under ESA, NASA, and EIIS standards. The dual-core system integrates a semantic engine for formal logic and compliance analysis (ECSS / NASA-STD / EIIS ontology) with a predictive engine for computational and uncertainty evaluation following ISO GUM. Cross-validation confirms functional coherence and operational readiness. The framework is now eligible for institutional deployment within space, astrophysics, and nuclear systems domains. Keywords: TRL 9, semantic AI, ESA compliance, NASA validation, EIIS framework, verification and validation, cross-agency standards., 2025, ⟨10.5281/zenodo.17823427⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05544518

DOI: 10.5281/zenodo.17823427

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