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Bibliographische Detailangaben
1. Verfasser:	Gough, Timothy M.
Format:	Recurso digital
Sprache:
Veröffentlicht:	Zenodo 2025
Schlagworte:	deterministic systems ethical ai human-aligned ethics state transition law ethical admissibility bounded evolution ai ethics sequential decision systems stability analysis normative invariance operating sytems governance ai governance Deterministic decision systems Ethical admissibility Invariant sets Bounded autonomy Ethics architecture State-space geometry Internal representations Drift prevention Adversarial robustness Safety-critical AI Hybrid decision systems Cognitive stability Institutional coherence Machine alignment Ethical constraints Formal methods Autonomous governance Constraint-based AI State evolution Input-state-rule mapping Ethical contraint E Dynamic systems theory Constraint topologies AI safety framework Deterministic intelligence Internal state dynamics Coherent evolution Mathematical ethics State-bounded reasoning Normative geometry Interpretability framework Structurally aligned systems Decision architecture mathmatical truth Counterfactual reasoning Ethics-embedded computation Structural alignment Topological constraints Stability under perturbation Predictive consistency Ethics-based invariance Forbidden state space Deterministic transition mapping truth scoring Universal ethical primitives daios DUM Constraint-driven evolution Normative attractors Deterministic governance Artificial intelligence Artificial satellite Artificial Intelligence Pacemaker, Artificial Artificial Intelligence/economics Artificial Intelligence/standards Artificial Intelligence/trends Artificial Intelligence/classification Artificial Intelligence/ethics Artificial Intelligence/history Artificial Intelligence/supply & distribution Artificial Intelligence/legislation & jurisprudence Artificial Intelligence/statistics & numerical data Machine learning Machine Learning Supervised Machine Learning Machine Learning/classification Machine Learning/ethics Machine Learning/standards Machine Learning/trends Supervised Machine Learning/standards Machine Learning/legislation & jurisprudence Supervised Machine Learning/ethics Unsupervised Machine Learning/ethics Ethical Review/legislation & jurisprudence critical ethics
Online-Zugang:	https://doi.org/10.5281/zenodo.17826047
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Online

https://doi.org/10.5281/zenodo.17826047