A Neurocognitive Hypothesis on LLM Hallucination Based on the Judgemental Philosophy Model: Limitations of Systems with Constructivity/Coherence but Lacking Resonance

This paper applies the 10-step neurocognitive model of Judgemental Philosophy, which explains the human judgment process, to propose a new theoretical explanation for the phenomenon of hallucination in Large Language Models (LLMs). The Judgemental Philosophy model includes the Constructivity and Coherence Verification (CC) stage and the Implicit/Explicit Resonance (R) stage in the process from sensory input to social normatization. The CC stage is primarily associated with Event-Related Potentials (ERPs) like N400 and P600, related to language processing and integration, and the activity of some areas in the temporal and frontal lobes. The Resonance (R) stage is a whole-system state that forms the foundation of judgment possibility; Implicit Resonance is associated with P300 and brainwave phase synchronization, reflecting the simultaneous activation of widespread brain networks, while Explicit Resonance is associated with post-P300 activity and higher-order cognitive areas like the frontal cortex. This paper argues that LLMs largely possess the CC ability, which involves constructing linguistic structures and maintaining internal consistency based on learned data, but lack the whole-system 'resonance' state essential for the organic judgment process, especially the Explicit Resonance stage linked to conscious awareness. It is inferred that LLM hallucination occurs because, while having the ability to generate plausible and consistent content (CC), LLMs lack the process (R) of 'resonating' with the real world or existing knowledge systems to form the foundation of judgment possibility and verify the generated content. This provides insight into the fundamental differences between human judgment and AI and offers a new theoretical perspective for addressing the AI hallucination problem.