@inproceedings{15333fb9a29b4b3cb8997af955590673,
title = "Operational modeling of temporal intervals for intelligent systems",
abstract = "Time is a crucial notion for intelligent systems, such as robotic systems, cognitive systems, multi-agent systems, cyber-physical systems, or auto-nomous systems, since it is inherent to any real-world process and/or environment. Hence, in this paper, we present operational temporal logic notations for modeling the time aspect of intelligent systems in terms of temporal interval concepts. Their application to intelligent systems{\textquoteright} application scenarios have demonstrated the usefulness and effectiveness of our developed approach.",
keywords = "intelligent systems, robotic systems, knowledge-based systems, cognitive systems, multi-agent systems, system of systems, cyber-physical systems, autonomous systems, intelligent control, temporal intervals, Allen's temporal relations, description logic, unified modeling language, knowledge representation and reasoning, verification and validation, explainable artificial intelligence",
author = "J.I. Olszewska",
year = "2024",
month = may,
day = "8",
doi = "10.1007/978-3-031-59057-3_21",
language = "English",
isbn = "9783031590566",
series = "Communications in Computer and Information Science",
publisher = "Springer Cham",
editor = "J. Filipe and J, R{\"o}ning",
booktitle = "Robotics, Computer Vision and Intelligent Systems. ROBOVIS 2024",
}