AINeutralarXiv – CS AI · 9h ago5/10
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Cognitive Agent Compilation for Explicit Problem Solver Modeling
Researchers propose Cognitive Agent Compilation (CAC), a framework that uses large language models to create explicit, inspectable problem-solving agents for educational applications. The approach separates knowledge representation, problem-solving policy, and verification rules to make AI systems more controllable and transparent than standard LLMs, though it reveals trade-offs between interpretability and scalability.