Learning Causal Overhypotheses through Exploration in Children and
Computational Models

Learning Causal Overhypotheses through Exploration in Children and Computational Models

21 February 2022

Jasmine Collins

Jessica B. Hamrick

Nan Rosemary Ke

Sandy H Huang

Bryanna Kaufmann

Papers citing "Learning Causal Overhypotheses through Exploration in Children and Computational Models"

6 / 6 papers shown

Title
Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists? Anthony GX-Chen Dongyan Lin Mandana Samiei Doina Precup Blake A. Richards Rob Fergus Kenneth Marino CML LRM 29 0 0 14 May 2025
Intrinsically-Motivated Humans and Agents in Open-World Exploration Aly Lidayan Yuqing Du Eliza Kosoy Maria Rufova Pieter Abbeel Alison Gopnik 42 1 0 31 Mar 2025
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge Yupei Yang Biwei Huang Shikui Tu Lei Xu CML 29 1 0 30 Jul 2024
Understanding Social Reasoning in Language Models with Language Models Kanishk Gandhi Jan-Philipp Fränken Tobias Gerstenberg Noah D. Goodman LRM 23 110 0 21 Jun 2023
Actively learning to learn causal relationships Chentian Jiang Christopher G. Lucas 22 3 0 20 Jun 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses Eliza Kosoy David M. Chan Adrian Liu Jasmine Collins Bryanna Kaufmann Sandy Han Huang Jessica B. Hamrick John F. Canny Nan Rosemary Ke Alison Gopnik CML AI4CE 21 18 0 16 Jun 2022