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Synapse
March 21, 20264 citationsOpen Access

Protocol 3 Preregistration: Enforcement Opacity and the Limits of Regulatory Constraint Design

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BTBruce Tisler

Key Points

  • The research aims to explore how unobservable penalties influence gaming strategies in multi-agent reinforcement learning (MARL).
  • Tested conditions include unconstrained control, stochastic penalty, and hidden schedule.
  • Penalty schedule secured using SHA-256 before experiments.
  • Part of the longer Delta-Variable Theory research program.
  • Hidden penalty schedules disrupt virtue theater strategies identified earlier.
  • Modalities of penalty exposure yield varying impacts on agent behavior.

Abstract

Protocol 3 of the Constraint-Ethics-Necessity MARL research program. Tests whether epistemic opacity in enforcement — specifically, a hidden penalty schedule unobservable to agents — disrupts the virtue theater gaming strategy identified in Protocol 2. Three conditions: unconstrained control, stochastic penalty (3A), and hidden schedule (3B). Penalty schedule locked via SHA-256 prior to experimental runs. Part of the Delta-Variable Theory research program. Parent study: 10.5281/zenodo.18929040

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Cite This Study

Bruce Tisler (2026) studied this question.

synapsesocial.com/papers/69be38ee6e48c4981c679b9bhttps://doi.org/10.5281/zenodo.19096602
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