LACF proposes a personalized artificial nervous system for AI agents, suggesting effective emotional calibration methods for alignment with human interactions.
We present LACF (Legal Architecture for Cognitive Functions), a complete artificial nervous system for AI agents. Unlike RLHF-based approaches, LACF implements a biologically-inspired architecture with personalized emotional calibration. We demonstrate Heart calibration on 397 emotional vectors extracted from 118 real human-AI conversations, sycophancy cascade measurement and stabilization via daemon re-injection, and scalable personalization (one framework, individually calibrated per human). Includes empirical evidence, 12 claims, emotional calibrator source code, and Heart calibration data.
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Ochej et al. (2026) studied this question.
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