Abstract
This paper treats the Miulus Law as an empirical epistemic physics and tests it through a sequence of controlled simulations involving small epistemic agents, coalitions, and internally structured beliefs.
The results point to structural failure modes in multi-agent information systems: naive consensus is vulnerable, bounded minds require forgetting, and stable epistemic agents need grounding, selective reinforcement, and non-uniform decay.
Experiments covered
- Multi-system composition and whether coalitions form a true meta-mind.
- Semantic vs symbolic representations and structural epistemics.
- False consensus and Byzantine-observer capture.
- Tipping points in noisy multi-agent systems.
- Recursive amplification, bounded growth, and forgetting as a structural requirement.
- Internal structure of Epistemic Belief Particles and non-uniform decay.
Key takeaway
The paper argues that robust AI alignment and resilient information systems depend less on value slogans than on structural epistemic design: provenance, boundedness, grounded observation, and resistance to capture by false consensus.