arXiv AI
Sparks of In Silico Cognitive Science: Theories from Simulated Data Can Generalize to Humans
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arXiv AI
Jun 26
Closing the Loop to Discover Psychological Theories with an Automated Cognitive Scientist
arXiv:2606. 26448v1 Announce Type: cross Abstract: Across the sciences, autonomous systems are increasingly being used in closed-loop discovery, proposing new theories and designing and running experiments to test them.
arXiv AI
Jun 26
auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation
arXiv:2606. 26460v1 Announce Type: new Abstract: AI-based scientific automation is increasingly possible by using agents to generate hypotheses, design experiments, and analyze data.
arXiv AI
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An AI Scientist that Doesn't Drift: Taste, Structure, and Falsifiable Findings in a Quadruped Navigation Research Loop
arXiv:2608. 07542v1 Announce Type: new Abstract: Autonomous research loops driven by large language models can run machine-learning experiments at scale but tend to drift toward local refinements of whichever metric they optimise rather than testing the hypotheses that motivate the experiments.
arXiv AI
Sep 23
Taming the Centaur(s) with LAPITHS: a framework for a theoretically grounded interpretation of AI performances
arXiv:2604.27927v2 Announce Type: replace Abstract: We introduce a framework called LAPITHS (Language model Analysis through Paradigm grounded Interpretations of Theses about Human likenesS) and use...
arXiv AI
Jun 11
When Researchers Say Mental Model/Theory of Mind of AI, What Are They Really Talking About?
arXiv:2510. 02660v2 Announce Type: replace-cross Abstract: When researchers claim AI systems possess ToM or mental models, they are fundamentally discussing behavioral predictions and bias corrections rather than genuine mental states.
arXiv AI
Jul 2
Large language models replicate and predict human cooperation across experiments in game theory
arXiv:2511. 04500v3 Announce Type: replace Abstract: Large language models (LLMs) are increasingly deployed as decision-making agents in high-stakes domains and as imitators of human behavior in the social and behavioral sciences.