Mathematical foundations of intelligence across biology, computation, economics, and society.
The Institute studies the mathematical structures that govern how intelligence emerges, organizes, sustains, improves itself, and collapses — in neural systems, computational systems, markets and economies, and institutions. A unified body of mathematics, applied across every substrate where intelligence operates.
Coalition intelligence theory
The mathematical foundations of collective capability, diversity, vulnerability, and structural invariance — the core theory on which every application domain is built.
Distributed artificial intelligence
Energy constraints, forced architecture, and the physics of scalable intelligence.
Economics and institutions
Diversity, collective value, and the mathematics of institutional failure.
Verification theory
What verification can achieve, what it provably cannot, and why.
AI governance
Provably necessary constraints for multi-agent alignment.
Biological intelligence
Cells as agents: cancer, development, and collective failure.
Neuroscience and memory
Why memory is organized the way it is, derived from first principles.
Self-improving machines
The mathematical limits of self-improvement — what a system that must judge its own progress can and cannot achieve.