Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning

• Material Type: 記事
• Title: Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
• Author Heading: Kelsey R. Allen; Kevin A. Smith; Joshua B. Tenenbaum
• Publication Date: 2020-11-23
• Publication Date (W3CDTF): 2020-11-23
• Periodical title: Proceedings of the National Academy of Sciences
• No. or year of volume/issue: 117 47
• Volume: 117
• Issue: 47
• Pages: 29302-29310
• Publication date of volume/issue (W3CDTF): 2020-11-23
• ISSN (Periodical Title): 00278424
• Publication (Periodical Title): Proceedings of the National Academy of Sciences
• Target Audience: 一般
• DOI: 10.1073/pnas.1912341117; https://doi.org/10.1073/pnas.1912341117
• Date Created (W3CDTF): 2020-11-24
• Rights (production): https://www.pnas.org/site/aboutpnas/licenses.xhtml
• Related Material (URI): http://www.pnas.org/syndication/doi/10.1073/pnas.1912341117; https://pnas.org/doi/pdf/10.1073/pnas.1912341117
• Is Referenced By: World model learning and inference; https://cir.nii.ac.jp/crid/1360857593648239488
• Data Provider (Database): 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• Original Data Provider (Database): Crossref; https://www.crossref.org

• Summary, etc.: <jats:p>Many animals, and an increasing number of artificial agents, display sophisticated capabilities to perceive and manipulate objects. But human ...