@inbook{361301f8d36c4df89763f4b1bc8fd41b,
title = "Schedule Explainer: An Argumentation-Supported Tool for Interactive Explanations in Makespan Scheduling",
abstract = "Scheduling is a fundamental optimisation problem that has a wide range of practical applications. Mathematical formulations of scheduling problems allow for development of efficient solvers. Yet, the same mathematical intricacies often make solvers black-boxes: their outcomes are hardly explainable and interactive even to experts, let alone lay users. Still, in real-world applications as well as research environments, lay users and experts likewise require a means to understand why a schedule is reasonable and what would happen with different schedules. Building upon a recently proposed approach to argumentation-supported explainable scheduling, we present a tool, Schedule Explainer, that provides interactive explanations in makespan scheduling easily and with clarity.",
keywords = "Explainability, Implementation, Scheduling",
author = "Kristijonas {\v C}yras and Myles Lee and Dimitrios Letsios",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 3rd International Workshop on Explainable, Transparent AI and Multi-Agent Systems, EXTRAAMAS 2021 ; Conference date: 03-05-2021 Through 07-05-2021",
year = "2021",
doi = "10.1007/978-3-030-82017-6_15",
language = "English",
isbn = "9783030820169",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "243--259",
editor = "Davide Calvaresi and Amro Najjar and Michael Winikoff and Kary Fr{\"a}mling",
booktitle = "Explainable and Transparent AI and Multi-Agent Systems - 3rd International Workshop, EXTRAAMAS 2021, Revised Selected Papers",
address = "Germany",
}