Metacognitive self- and co-regulation loops improve LLM agent performance in engineering design by mitigating fixation and enabling better exploration of design options.
An LLM-based multi-agent system to assist early-stage product design and evaluation
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Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Design
Metacognitive self- and co-regulation loops improve LLM agent performance in engineering design by mitigating fixation and enabling better exploration of design options.
- EngiAI: A Multi-Agent Framework and Benchmark Suite for LLM-Driven Engineering Design