{"type":"ScholarlyArticle","title":"Visualizations for an Explainable Planning Agent","authors":[{"name":"Tathagata Chakraborti","slug":"tathagata-chakraborti","given":"Tathagata","family":"Chakraborti","affiliation":"Computer Science Department , Arizona State University , Tempe , AZ 85281 USA"},{"name":"Kshitij P. Fadnis","slug":"kshitij-p-fadnis","given":"Kshitij P.","family":"Fadnis","affiliation":"IBM T. J. Watson Research Center , Yorktown Heights , NY 10598 USA"},{"name":"Kartik Talamadupula","slug":"kartik-talamadupula","given":"Kartik","family":"Talamadupula","affiliation":"IBM T. J. Watson Research Center , Yorktown Heights , NY 10598 USA"},{"name":"Mishal Dholakia","slug":"mishal-dholakia","given":"Mishal","family":"Dholakia","affiliation":"IBM T. J. Watson Research Center , Yorktown Heights , NY 10598 USA"},{"name":"Biplav Srivastava","slug":"biplav-srivastava","given":"Biplav","family":"Srivastava","affiliation":"IBM T. J. Watson Research Center , Yorktown Heights , NY 10598 USA; Watson Research Center ."},{"name":"Jeffrey O. Kephart","slug":"jeffrey-o-kephart","given":"Jeffrey O.","family":"Kephart","affiliation":"IBM T. J. Watson Research Center , Yorktown Heights , NY 10598 USA"},{"name":"Rachel K. E. Bellamy","slug":"rachel-k-e-bellamy","given":"Rachel K. E.","family":"Bellamy","affiliation":"IBM T. J. Watson Research Center , Yorktown Heights , NY 10598 USA"}],"abstract":"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.","doi":"10.24963/ijcai.2018/849","url":"https://ijcai.org/proceedings/2018/849","pdf":"https://ijcai.org/proceedings/2018/0849.pdf","markdown":"https://ijcai.org/proceedings/2018/849.md","bibtex":"https://ijcai.org/proceedings/2018/bibtex/849","volume":{"slug":"2018","title":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2018","url":"https://ijcai.org/proceedings/2018/","year":2018,"location":"Stockholm","dates":"13-19 July 2018","editors":"Jérôme Lang","isbn":"978-0-9992411-2-7","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2018"},"section":"Demos","track":"Demos","number":849,"pages":{"first":5820,"last":5822},"keywords":["Planning and Scheduling: Planning and Scheduling","Multidisciplinary Topics and Applications: Intelligent User Interfaces","Planning and Scheduling: Applications of Planning","Planning and Scheduling: Activity and Plan Recognition"],"videos":[],"references":[{"position":1,"raw":"[Chakraborti et al., 2017a] Tathagata Chakraborti, Kshitij P. 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