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Bibliographic Details
Main Author: Kayadibi, Seyma Yaman
Format: Recurso digital
Language:
Published: Zenodo 2026
Subjects:
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
Online Access:https://doi.org/10.5281/zenodo.18263664
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Internet

https://doi.org/10.5281/zenodo.18263664

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