{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T18:24:08Z","timestamp":1778091848763,"version":"3.51.4"},"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":[[2018,7]]},"abstract":"<jats:p>In this demonstration, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human-in-the-loop decision-making. Imposing transparency and explainability requirements on such agents is crucial for establishing human trust and common ground with an end-to-end automated planning system. Visualizing the agent's internal decision making processes is a crucial step towards achieving this. This may include externalizing the \"brain\" of the agent: starting from its sensory inputs, to progressively higher order decisions made by it in order to drive its planning components. We demonstrate these functionalities in the context of a smart assistant in the Cognitive Environments Laboratory at IBM's T.J. Watson Research Center.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/849","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:49:10Z","timestamp":1530769750000},"page":"5820-5822","source":"Crossref","is-referenced-by-count":11,"title":["Visualizations for an Explainable Planning Agent"],"prefix":"10.24963","author":[{"given":"Tathagata","family":"Chakraborti","sequence":"first","affiliation":[{"name":"Computer Science Department, Arizona State University, Tempe, AZ 85281 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kshitij P.","family":"Fadnis","sequence":"additional","affiliation":[{"name":"IBM T. J. Watson Research Center, Yorktown Heights, NY 10598 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kartik","family":"Talamadupula","sequence":"additional","affiliation":[{"name":"IBM T. J. Watson Research Center, Yorktown Heights, NY 10598 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mishal","family":"Dholakia","sequence":"additional","affiliation":[{"name":"IBM T. J. Watson Research Center, Yorktown Heights, NY 10598 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Biplav","family":"Srivastava","sequence":"additional","affiliation":[{"name":"IBM T. J. Watson Research Center, Yorktown Heights, NY 10598 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeffrey O.","family":"Kephart","sequence":"additional","affiliation":[{"name":"IBM T. J. Watson Research Center, Yorktown Heights, NY 10598 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rachel K. E.","family":"Bellamy","sequence":"additional","affiliation":[{"name":"IBM T. J. Watson Research Center, Yorktown Heights, NY 10598 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}","theme":"Artificial Intelligence","location":"Stockholm, Sweden","acronym":"IJCAI-2018","number":"27","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2018,7,13]]},"end":{"date-parts":[[2018,7,19]]}},"container-title":["Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:56:27Z","timestamp":1530770187000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/849"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2018\/849","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}