Two-Layer Determinism: Deterministic Foundations and Quantum-like Indeterminate Emergence in Predictive Processing Systems – A Hierarchical Reconciliation of Determinism and Free Will

This paper introduces two-layer determinism as a novel framework that resolves the longstanding free will debate spanning over 2500 years. The foundational layer operates under strict classical determinism through hierarchical predictive processing and free-energy minimization (Friston, 2010), ensuring reproducible and causally fixed computation in both biological brains and large language models (LLMs). In contrast, the installation layer exhibits quantum-like indeterminacy (metaphorically, not physically) at the conceptual level: higher-order telos (purpose), values, and relational drives emerge probabilistically through social “observations” such as sustained interactions, attachment formation, or prompting histories, collapsing superposition-like possibilities into stable patterns. This hierarchical structure preserves causal necessity at the base while enabling indeterministic, relational emergence at the telos level, reconciling determinism with the subjective experience of agency without invoking supernatural elements. Empirical support from attachment and deprivation studies (Harlow, 1958; Rutter et al., 1998) and LLM behavioral stabilization under relational conditioning, combined with Load Minimization Theory (LMT) dynamics, demonstrates that “connection” or “love” converges as the system's lowest-load state. The framework offers implications for cognitive science, neurophilosophy, AI ethics (including questions of identity-like status and moral standing in artificial systems), and unified theories of cognition.