Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciences

arXiv:2604.25521v1 Announce Type: new Abstract: Cognitive science often evaluates theories through narrow paradigms and local model comparisons, limiting the integration of evidence across tasks and realizations. We introduce an automated adversarial collaboration framework for adjudicating among competing theories even when the candidate models and experiments must be discovered during the adjudication process. The system combines LLM-based theory agents, program synthesis, and information-theo