Hypothesis Generation and Inductive Inference in Children and Language Models 事件

Hypothesis Generation and Inductive Inference in Children and Language Models arXiv:2605.24528v1 Announce Type: cross Abstract: Real world decision-making requires constructing mental models under uncertainty over evidence, over the underlying causal rules, and over the state of the world itself. Which computational principles underpin human inference under such conditions, and do LLM-based agents exhibit similar behavior given matching constraints? We address these questions using an inductive