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Dades bibliogràfiques
Autor principal:	Kayadibi, Seyma Yaman
Format:	Recurso digital
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Publicat:	Zenodo 2026
Matèries:	Artificial Age Score (AAS) Axiomatic characterization Axiomatic representation theorem Uniqueness theorem Proof-theoretic foundations Penalty-based metric Logarithmic penalty kernel Information-theoretic penalty Redundancy-aware weighting Effective channel weighting Jensen-type inequalities Coarsening bounds Heterogeneity cost Normalization and scale invariance Positive homogeneity Finite additivity Sensitivity bounds Convex analysis Mathematical foundations of AI metrics Information measures in AI systems Functional inequalities Artificial intelligence evaluation Information theory
Accés en línia:	https://doi.org/10.5281/zenodo.18263664
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