Publications & Open Source
Spectral foundations for attractor-stable systems
Formalizes the mathematical framework underlying AEO Trivector through spectral triple structures.
Compositional semantics for cognitive architectures
Develops categorical methods for composing and reasoning about attractor dynamics.
From black boxes to transparent structures
Demonstrates how geometric constraints enable interpretable machine learning systems.
Necessary conditions for self-reference
Proposes six critical thresholds that systems must cross to achieve self-encoding.
Reference implementation and tools
Python/Julia library for building attractor-stable systems with geometric constraints.