Evidence record 6635 · automatically gathered

Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring

Large Language Models (LLMs) are being increasingly used as autonomous agents in complex reasoning tasks, opening the niche for dialectical interactions. However, Multi-Agent systems implemented with systematically unconstrained systems systematically undergo semantic drift and logical deterioration and thus can hardly be used in providing ethical tutoring where a precise answer is required. Current simulation often tends to degenerate into dialectical stagnation, the agents degenerate into recu

Record details

Published: 28 March 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy
Retrieved: 14 July 2026

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ethics.ai (28 March 2026), “Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring,” evidence record 6635, https://ethics.ai/record/6635 (originally published by arXiv).

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