Computational Macrohistory: Axiomatic Foundations for a Quantitative Science of Large-Scale Social Systems

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Autor principal: Fontaise, Galen
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2026
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author Fontaise, Galen
author_facet Fontaise, Galen
contents <p>Computational Macrohistory (CMH) is proposed as a quantitative science that studies the temporal evolution of large-scale complex social systems through dynamic, probabilistic, and computational mathematical models. This document establishes the minimal, non-redundant set of axioms necessary for the discipline's foundation. Eight axioms (A1-A8) are formulated as admissibility constraints that any valid CMH model must satisfy, covering: statistical aggregation of collective behavior, conditioned historical ergodicity, structural causality, continuous temporal dynamics, endogenous indeterminacy, bounded reflexivity, predictive decay, and computational falsifiability. These axioms do not describe the world "as it is," but rather define the conditions under which historical systems become scientifically tractable. Any model that violates one of these axioms falls outside the domain of Computational Macrohistory. This framework positions CMH as an extension and formalization of cliodynamics, providing rigorous mathematical foundations for predictive historical analysis while explicitly acknowledging epistemological limits. A minimal toy model is provided to demonstrate that the axiom set is jointly satisfiable.</p>
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publishDate 2026
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record_format zenodo
spellingShingle Computational Macrohistory: Axiomatic Foundations for a Quantitative Science of Large-Scale Social Systems
Fontaise, Galen
computational macrohistory
cliodynamics
complex systems
social dynamics
quantitative history
structural causality
nonlinear dynamics
quantitative history
<p>Computational Macrohistory (CMH) is proposed as a quantitative science that studies the temporal evolution of large-scale complex social systems through dynamic, probabilistic, and computational mathematical models. This document establishes the minimal, non-redundant set of axioms necessary for the discipline's foundation. Eight axioms (A1-A8) are formulated as admissibility constraints that any valid CMH model must satisfy, covering: statistical aggregation of collective behavior, conditioned historical ergodicity, structural causality, continuous temporal dynamics, endogenous indeterminacy, bounded reflexivity, predictive decay, and computational falsifiability. These axioms do not describe the world "as it is," but rather define the conditions under which historical systems become scientifically tractable. Any model that violates one of these axioms falls outside the domain of Computational Macrohistory. This framework positions CMH as an extension and formalization of cliodynamics, providing rigorous mathematical foundations for predictive historical analysis while explicitly acknowledging epistemological limits. A minimal toy model is provided to demonstrate that the axiom set is jointly satisfiable.</p>
title Computational Macrohistory: Axiomatic Foundations for a Quantitative Science of Large-Scale Social Systems
topic computational macrohistory
cliodynamics
complex systems
social dynamics
quantitative history
structural causality
nonlinear dynamics
quantitative history
url https://doi.org/10.5281/zenodo.18288165