A Bayesian Mirror Architecture for Emergent Consciousness: Circular Hierarchies, Self-Manifolds, and Hybrid Event-Self Binding
The Bayesian Mirror Architecture (BMA) proposes a self-referential framework where consciousness is an architectural property arising from circular recursion. It models belief dynamics using optimal transport geometry and defines stability through Wasserstein metrics, suggesting that learning and agency emerge from the system's structural capacity to maintain coherent, self-consistent internal states.