English

Psychometric Tests for AI Agents and Their Moduli Space

Artificial Intelligence 2025-11-25 v1 Machine Learning Statistics Theory Statistics Theory

Abstract

We develop a moduli-theoretic view of psychometric test batteries for AI agents and connect it explicitly to the AAI score developed previously. First, we make precise the notion of an AAI functional on a battery and set out axioms that any reasonable autonomy/general intelligence score should satisfy. Second, we show that the composite index ('AAI-Index') defined previously is a special case of our AAI functional. Third, we introduce the notion of a cognitive core of an agent relative to a battery and define the associated AAIcore_{\textrm{core}} score as the restriction of an AAI functional to that core. Finally, we use these notions to describe invariants of batteries under evaluation-preserving symmetries and outline how moduli of equivalent batteries are organized.

Cite

@article{arxiv.2511.19262,
  title  = {Psychometric Tests for AI Agents and Their Moduli Space},
  author = {Przemyslaw Chojecki},
  journal= {arXiv preprint arXiv:2511.19262},
  year   = {2025}
}
R2 v1 2026-07-01T07:52:25.075Z