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Geospatial AI & Critical Infrastructure – A Framework for Responsible Agents. With a Focus on Offshore, Arctic, Onshore and Digital Twin Ecosystems
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- Nombre de pages553
- FormatePub
- ISBN978-3-565-18442-2
- EAN9783565184422
- Date de parution18/01/2026
- Protection num.pas de protection
- Taille8 Mo
- Infos supplémentairesepub
- ÉditeurEmphaloz Publishing House
Résumé
We live in a time in which global crises no longer occur sequentially, but overlap, reinforce one another and challenge our systems in constantly shifting constellations. In the midst of this dynamic, a new need for orientation is emerging - not through simple answers, but through architectures that make complexity visible, keep uncertainty navigable and distribute responsibility. This framework proposes such an architecture.
It unites epistemic, semantic and resilient integrity and shows how knowledge emerges, how it is shared and how it can be used responsibly. Geospatial AI & Critical Infrastructure describes not merely a technical field, but a space in which spatial intelligence, operational systems and societal responsibility are inseparably intertwined. A particular focus of this work also lies on offshore systems, Arctic operational environments and the responsible use of digital twins.
The framework shows how AI agents can become reliable partners in sensitive domains - not through maximal automation, but through transparent, robust and self reflective models. It reveals how many blind spots exist today and why epistemic integrity must become the foundation of modern world models, from BIM to digital twins to shadow pattern to EO supported systems. At the same time, it introduces a new profession: Epistemic Engineering - the design of knowledge architectures that understand their own limits.
With the Epistemic Maturity Model and the Epistemic Integrity Layer, structures emerge that make stability, transparency and resilience measurable. Many additional solution concepts, modules, geo AI scenario training, guidelines and much more await you in this framework. And with the Geo Resilience Compass, this architecture gains an instrument that provides orientation where uncertainty dominates.
This work unfolds its strength not in individual chapters, but in the interplay of all its components. I warmly invite you to join me on this exciting and necessary journey.
It unites epistemic, semantic and resilient integrity and shows how knowledge emerges, how it is shared and how it can be used responsibly. Geospatial AI & Critical Infrastructure describes not merely a technical field, but a space in which spatial intelligence, operational systems and societal responsibility are inseparably intertwined. A particular focus of this work also lies on offshore systems, Arctic operational environments and the responsible use of digital twins.
The framework shows how AI agents can become reliable partners in sensitive domains - not through maximal automation, but through transparent, robust and self reflective models. It reveals how many blind spots exist today and why epistemic integrity must become the foundation of modern world models, from BIM to digital twins to shadow pattern to EO supported systems. At the same time, it introduces a new profession: Epistemic Engineering - the design of knowledge architectures that understand their own limits.
With the Epistemic Maturity Model and the Epistemic Integrity Layer, structures emerge that make stability, transparency and resilience measurable. Many additional solution concepts, modules, geo AI scenario training, guidelines and much more await you in this framework. And with the Geo Resilience Compass, this architecture gains an instrument that provides orientation where uncertainty dominates.
This work unfolds its strength not in individual chapters, but in the interplay of all its components. I warmly invite you to join me on this exciting and necessary journey.
