Preregistration for Experiments with AI Agents
The proliferation of large language models (LLMs) and autonomous AI agents has given rise to a rapidly growing methodological paradigm: "in silico" behavioral experiments. Originally conceived as a way to use AI agents as proxies for human participants in studies of cognition, decision-making, and social dynamics, this approach has taken on new significance -- as AI agents increasingly negotiate, transact, and make consequential decisions on behalf of people and organizations, understanding their behavior has become a research priority in its own right. While these experiments with AI agents offer unprecedented advantages in terms of scalability, cost efficiency, and experimental control,...
| Authors | Michelle Vaccaro |
|---|---|
| Primary category | cs.CY |
| Published | 3 May 2026 |
| Last updated at source | 3 May 2026 |
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