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May 25, 20260 citationsOpen Access

From Collective Computation to Developmental Inquiry: A Cross-Substrate Test of Structural Admissibility

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BTBruce Tisler

Key Points

  • The aim is to investigate structural admissibility across different computational substrates and its implications for AI reasoning.
  • Performed a theoretical analysis based on Hopfield's framework and Vargas-Barroso et al.'s findings.
  • Tested six preregistered multi-agent reinforcement learning (MARL) protocols for governance behavior under different architectures.
  • Conducted a preregistered cross-substrate test (Protocol 8) to assess substrate independence.
  • Demonstrated that emergent computation arises from network organization without detailed understanding of components.
  • Found that structure evolves toward more organized connectivity through a pruning process.
  • Showed patterns indicative of degraded governance behavior across the MARL protocols under varying constraints.

Abstract

This paper traces an argument across four levels of analysis: theoretical foundation (Hopfield, 1982), developmental evidence (Vargas-Barroso et al., 2026), formal specification (Geometric Inquiry Theory), and empirical test (MARL Protocols 2-6). Hopfield established that computation can emerge from network organization without component-level understanding. Vargas-Barroso et al. demonstrated that functionally useful structure develops through pruning from dense/random toward sparse/structured connectivity. GIT proposes a candidate minimal inquiry structure. Six preregistered MARL protocols show patterns consistent with degraded governance behavior under varying constraint architectures. Whether these patterns are substrate-independent is addressed by a preregistered cross-substrate test (Protocol 8). Whether the proposed operational structure improves AI reasoning is the subject of a separate preregistered evaluation study. This paper contributes a falsifiable argument with locked empirical tests, not proof.

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Cite This Study

Bruce Tisler (2026) studied this question.

synapsesocial.com/papers/6a13e8d20e02ee3982d336c6https://doi.org/10.5281/zenodo.20360255
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