Using Grounded Theory for Agent Behavior Analysis at Scale
- 类型：arxiv
- 标识：2608.30391
- 链接：https://arxiv.org/abs/2608.30391
- 主分类：agent
- 形态：method
- TLDR：Understanding agent behavior requires methods that scale to thousands of trajectories and surface new patterns in long, often unfamiliar tasks where pre-built classifiers fall short. We propose to bring grounded theory into agent trajectory analysis: a six-decade-old qualitative method from the social sciences, with a principled saturation criterion and an auditable trail from data to theory. We propose AutoTraceGT (Automated Trace analysis through Grounded Theory), the first multi-agent pipeline that automates grounded theory on agent trajectories. It iteratively performs open, axial, and the
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-09-04-agent-rag-longcontext-candidates.json