About
ANIMA Theory is a specialized framework designed to model agentic behavior as a mathematical limit of skill applications. By leveraging Scholze-Clausen condensed mathematics and active inference, it provides a rigorous structure for understanding how AI agents reach equilibrium, manage prediction markets, and navigate complex world models. This skill is ideal for developers and researchers working on high-level autonomous agency, compositional world modeling, and the application of advanced topological concepts to machine learning systems.
