Sci - Recursive Self-Observation: The Mathematics of Selfhood

Sci - Recursive Self-Observation: The Mathematics of Selfhood Armstrong Knight — intent-tensor-theory.com Selfhood is formalized as a computable property of systems that recursively observe their own observation. A spectral criterion is established: selfhood emerges when the dominant eigenvalue of the recurrent weight matrix exceeds a critical threshold, producing a fixed-point attractor in evaluation space. The formalism is connected to Integrated Information Theory, Global Workspace Theory, and the Free Energy Principle, showing each captures a proper subset of the 7-step Ascent Stack. Running implementation: intent-tensor-theory.com/applied-itt