InflectAI, Inc.

Radiant Collaboration Abstract

The Oldest Open Source Project

Can Sun Tzu's Art of War be modeled as community-refined practitioner doctrine rather than only as single-author text or random compilation?

  • Domain: Sinology and digital humanities
  • Status: Collaboration abstract
  • Full draft: available to qualified collaborators on request

Abstract

The authorship of Sun Tzu's Art of War has long been framed as a binary: either the text was composed by a single historical author, or it is a later compilation assembled from disparate materials. This project proposes a third model. The Art of War may have emerged through community refinement: an initial strategic core maintained, extended, and polished by a distributed practitioner community over multiple generations.

The analogy is not a claim that ancient China had modern software culture. It is a testable model for how a professional advisory class, a mutable bamboo-slip medium, and extreme selection pressure during the Warring States period may have produced a structurally similar mode of knowledge refinement.

A single-author model predicts stylistic uniformity. A random-compilation model predicts unstructured variation. A community-refinement model predicts architectural consistency with structured surface variation: core chapters should show greater stylistic unity and archaic features, applied chapters should show bounded variation, and later explanatory or scholarly additions should differ from pre-Qin practitioner layers.

Fields and Methods

Sinology, Warring States textual studies, computational stylometry, digital humanities, authorship studies.

  • Classical Chinese stylometric pipeline
  • temporal-marker analysis
  • comparison with known composite and single-author texts
  • received-text and excavated-witness comparison
  • Qin unification bottleneck analysis

Collaborator Profile

Computational Sinologists, specialists in Classical Chinese, Warring States intellectual historians, stylometry researchers, and digital humanists working on ancient textual transmission.

Validation Needed

  • Build a Classical Chinese calibration corpus.
  • Test stylometric variation across core, applied, and later explanatory layers.
  • Compare received text with Yinqueshan and other textual witnesses.
  • Review the historical assumptions with domain specialists.

Publication Posture

This page is a collaboration abstract, not a peer-reviewed finding. The research question is public so qualified domain scholars can evaluate the hypothesis, methods, and evidence needed to develop it.