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PlanCurves: An Interface for End-Users to Visualise Multi-Agent Temporal Plans

Le Bras, Pierre; Carreno, Yaniel; Lindsay, Alan; Petrick, Ronald P. A.; Chantler, Mike J.

Authors

Pierre Le Bras

Yaniel Carreno

Alan Lindsay

Ronald P. A. Petrick

Mike J. Chantler



Abstract

In operational contexts, there is a growing need to make automatically generated plans available for assessment, verification, and accountability purposes, in order to evaluate the risks associated with such plans prior to their execution. However, this task can be challenging, especially in situations where multiple agents are scheduled to interact and carry out activities over long periods of time. In this paper, we present PlanCurves, a web application for visualising multi-agent plans generated by temporal planners, to enhance end-user understanding and interpretation of these plans. We implement a familiar chart visualisation for temporal plans, in combination with a novel layout designed to provide a rapid overview of the plan while highlighting the relative similarities between agents. We describe how the approach is both planner and domain agnostic, and show potential applications of the visualisation interface using example domains from the International Planning Competition and domains with industrial applications.

Citation

Le Bras, P., Carreno, Y., Lindsay, A., Petrick, R. P. A., & Chantler, M. J. (2020). PlanCurves: An Interface for End-Users to Visualise Multi-Agent Temporal Plans. In ICAPS 2020 Workshop on Knowledge Engineering for Planning and Scheduling (KEPS 2020)

Conference Name ICAPS 2020 Workshop on Knowledge Engineering for Planning and Scheduling (KEPS 2020)
Conference Location Nancy, France [Online]
Start Date Oct 19, 2020
End Date Oct 30, 2020
Acceptance Date May 1, 2020
Online Publication Date Oct 30, 2020
Publication Date Oct 30, 2020
Deposit Date Jul 6, 2022
Book Title ICAPS 2020 Workshop on Knowledge Engineering for Planning and Scheduling (KEPS 2020)
Public URL http://researchrepository.napier.ac.uk/Output/2884488
Publisher URL https://icaps20subpages.icaps-conference.org/wp-content/uploads/2020/10/KEPS-2020_paper_7.pdf