Closing the Loop to Discover Psychological Theories with an Automated Cognitive Scientist
Across the sciences, autonomous systems are increasingly being used in closed-loop discovery, proposing new theories and designing and running experiments to test them. This approach is yet to be applied in the field of cognitive science, where the central bottleneck is theory-building: the creative step of turning the accumulated failures of existing models into better ones. Theory generation has remained manual even as data collection, modeling, and experiment design have been automated. We present the Automated Cognitive Scientist (AutoCog), a fully autonomous agentic-AI system that closes this loop. Large-language-model agents advocate competing theories, each expressed as an executab...
| Authors | Akshay K. Jagadish, Younes Strittmatter, Nori Jacoby et al. |
|---|---|
| Primary category | q-bio.NC |
| Published | 24 June 2026 |
| Last updated at source | 24 June 2026 |
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