$Humanistic\ Verifiability\ Paradigm$

Keywords: Executable Humanities， Verifiability Crisis， Humanistic Verifiability Paradigm Agentic AI， Formalization Postulate，Generative Verification，Predictive Dynamics，RCL Unification Theory

TL;DR: This paper proposes the Humanistic Verifiability Paradigm, a new methodological framework where AI agents construct and test formalized theories, transforming the humanities and social sciences from interpretation to executable, verifiable models.

Abstract:

Abstract

Although the humanities and social sciences are rich in profound interpretive insights, they face an ongoing crisis of verifiability, which limits their interoperability with computational sciences. Traditional methodologies that rely on informal concepts and qualitative evaluations struggle to produce knowledge that is falsifiable and reproducible.

The rise of agentic AI demands a fundamental shift in our research paradigm, which we term and define here as “Executable Humanities” ($EH$): a novel methodological framework whose core principle is that the validity of a theory $T$ must be demonstrated through its computational constructability, i.e., $C_{\text{comp}}(T)$.

Within this paradigm, the primary aim of inquiry shifts from interpretation to construction (informally, $\,\text{interpretation}\ \rightarrow\ \text{construction}\,$), with AI agents serving as executors of formalized theories to generate testable artifacts and simulations.

We decompose this paradigm into three foundational postulates:
1) the Formalization Postulate ($P_{\text{form}}$), which asserts that meaningful concepts can be translated into computational language;
2) the Generative Verification Postulate ($P_{\text{gen}}$), which treats construction as the ultimate form of validation; and
3) the Predictive Dynamics Postulate ($P_{\text{pred}}$), which maintains that mature theories must be capable of modeling the evolution of systems.

As an illustrative example—not an established law—we employ the RCL unification theory, expressed as the block specification
$$
\mathrm{RCL} \;=\; \langle R,\; L,\; C\rangle
\;=\; \langle \text{Rarity},\; \text{Control-of-Entropy},\; \text{Connectivity}\rangle ,
$$
to show how these postulates can be architected into a coherent system.

This paper does not seek empirical validation of a specific model; rather, it aims to establish and advocate a new methodological foundation, and to invite the global scientific community to jointly inaugurate a new era of humanities and social sciences that are more rigorous, transparent, and computationally grounded.

Submission Number: 105