Agents perform fewer inference steps from unobserved than observed variables in DAG belief updating, producing correlation neglect and iterated expectations failures.
Alternatives to B ayesian updating
2 Pith papers cite this work. Polarity classification is still indexing.
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Equation-to-Behavior Prompting lets large LLMs match cognitive models like Bayesian updating in persuasion games; RL training cuts small-model belief error by 26.5% and improves diverse training outcomes by 2.5-12%.
citing papers explorer
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Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games
Equation-to-Behavior Prompting lets large LLMs match cognitive models like Bayesian updating in persuasion games; RL training cuts small-model belief error by 26.5% and improves diverse training outcomes by 2.5-12%.