{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T18:05:11Z","timestamp":1772301911946,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,24]]},"DOI":"10.1109\/iros45743.2020.9341262","type":"proceedings-article","created":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T14:49:56Z","timestamp":1615819796000},"page":"8394-8399","source":"Crossref","is-referenced-by-count":18,"title":["A Causal Approach to Tool Affordance Learning"],"prefix":"10.1109","author":[{"given":"Jake","family":"Brawer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meiying","family":"Qin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Scassellati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/1059712317726357"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2007.4399511"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2018.00026"},{"key":"ref13","article-title":"Causalgan: Learning causal implicit generative models with adversarial training","author":"kocaoglu","year":"2017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-016-0038-6"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2013.11.007"},{"key":"ref16","first-page":"239","article-title":"Counting labeled acyclic digraphs","author":"robinson","year":"1973","journal-title":"New Directions in the Theory of Graphs Proc of the Third Ann Arbor Conf on Graph Theory"},{"key":"ref17","author":"spirtes","year":"2000","journal-title":"Causation Prediction and Search"},{"key":"ref18","article-title":"Causal discovery toolbox: Uncover causal relationships in python","author":"kalainathan","year":"2019"},{"key":"ref19","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3176182"},{"key":"ref3","volume":"29","author":"pearl","year":"2000","journal-title":"Causality Models Reasoning and Inference"},{"key":"ref6","article-title":"Counterfactual off-policy evaluation with gumbel-max structural causal models","author":"oberst","year":"2019"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11794","article-title":"Counterfactual multi-agent policy gradients","author":"foerster","year":"2018","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487364"},{"key":"ref7","first-page":"1341","article-title":"Using causal analysis to learn specifications from task demonstrations","author":"angelov","year":"2019","journal-title":"Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems International Foundation for Autonomous Agents and Multiagent Systems"},{"key":"ref2","article-title":"Deep learning: A critical appraisal","author":"marcus","year":"2018"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0092895"},{"key":"ref9","author":"gibson","year":"1979","journal-title":"The Ecological Approach to Visual Perception classic ed"},{"key":"ref20","article-title":"Challenges in shared-environment human-robot collaboration","volume":"8","author":"hayes","year":"2013","journal-title":"Learning"}],"event":{"name":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2020,10,24]]},"end":{"date-parts":[[2021,1,24]]}},"container-title":["2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9340668\/9340635\/09341262.pdf?arnumber=9341262","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T05:16:17Z","timestamp":1698038177000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9341262\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,24]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/iros45743.2020.9341262","relation":{},"subject":[],"published":{"date-parts":[[2020,10,24]]}}}