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Frequently Asked Questions

Common questions about our research approach and methodology

Agent-Based Simulations

We discover collective behavior laws that no human observation could find.

We can run thousands of controlled experiments on societal simulations - impossible in the real world but essential if you want to make better decisions in a rapidly transforming world.

Mathematical Foundations

We're discovering the mathematical laws that govern all collective intelligence.

Mathematical Foundations

We use category theory to import proven theorems from network science directly into social systems, creating a "periodic table" of coordination mechanisms instead of building new math from scratch.

Example

We developed frameworks showing that markets, networks, and democracies aren't cultural accidents - they're optimal solutions to different information processing problems. Markets for compressible information (prices), networks for local structure, democracies for aggregation. This explains why the same structures appear from ant colonies to AI systems, and lets us predict which coordination mechanisms will emerge in new domains like multi-agent AI.