{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:39:25Z","timestamp":1723016365728},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>Modeling object representations derived from perceptual observations, in a way that is also semantically meaningful for humans as well as autonomous agents, is a prerequisite for joint human-agent understanding of the world. A practical approach that aims to model such representations is perceptual anchoring, which handles the problem of mapping sub-symbolic sensor data to symbols and maintains these mappings over time. In this paper, we present ProbAnch, a modular data-driven anchoring framework, whose implementation requires a variety of well-orchestrated components, including a probabilistic reasoning system.<\/jats:p>","DOI":"10.24963\/ijcai.2020\/771","type":"proceedings-article","created":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:12:49Z","timestamp":1594260769000},"page":"5285-5287","source":"Crossref","is-referenced-by-count":1,"title":["ProbAnch: a Modular Probabilistic Anchoring Framework"],"prefix":"10.24963","author":[{"given":"Andreas","family":"Persson","sequence":"first","affiliation":[{"name":"\u00d6rebro University, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pedro Zuidberg Dos","family":"Martires","sequence":"additional","affiliation":[{"name":"KU Leuven, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luc de","family":"Raedt","sequence":"additional","affiliation":[{"name":"KU Leuven, Belgium"},{"name":"\u00d6rebro University, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amy","family":"Loufti","sequence":"additional","affiliation":[{"name":"\u00d6rebro University, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-PRICAI-2020","name":"Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}","start":{"date-parts":[[2020,7,11]]},"theme":"Artificial Intelligence","location":"Yokohama, Japan","end":{"date-parts":[[2020,7,17]]}},"container-title":["Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:17:08Z","timestamp":1594261028000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2020\/771"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2020\/771","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}