Preprint / scholarly article

Consistency-Defect Gradient Flows and No-Meta Self-Purification in Value-Anchored Multi-Agent Systems

K. Takahashi

Published
DOI
10.5281/zenodo.17724629

Abstract

The starting point is an analytic background where macroscopic dynamics of laws on a Polish state space are described by evolution variational inequality (EVI) gradient flows with respect to ET distances such as the Hellinger–Kantorovich and fibered Bures–HK metrics.

Keywords

  • AI
  • multi-agents
  • AI safety
  • AI alignment
  • geometry
  • entropy-transport geometry
  • hellinger-kantorovich distance
  • bures-hk metric
  • evolution variational inequality
  • evi

Identifiers and source records