{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/planning-inference-and-pragmatics-in","title":"Planning, Inference and Pragmatics in Sequential Language Games","arxiv_id":"1805.11774","date":"2018-05-30","proceeding":"TACL 2018 1","authors":["Fereshte Khani","Noah D. Goodman","Percy Liang"],"abstract":"We study sequential language games in which two players, each with private\ninformation, communicate to achieve a common goal. In such games, a successful\nplayer must (i) infer the partner's private information from the partner's\nmessages, (ii) generate messages that are most likely to help with the goal,\nand (iii) reason pragmatically about the partner's strategy. We propose a model\nthat captures all three characteristics and demonstrate their importance in\ncapturing human behavior on a new goal-oriented dataset we collected using\ncrowdsourcing.","url_abs":"http://arxiv.org/abs/1805.11774v1","url_pdf":"http://arxiv.org/pdf/1805.11774v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"planning-inference-and-pragmatics-in","repo_url":"https://worksheets.codalab.org/worksheets/0x052129c7afa9498481185b553d23f0f9","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1805.11774","atlas_url":"https://app.syntology.ai/?focus=1805.11774","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}