@inproceedings{8f0a1ff771b343e7866295c90d882b2a,
title = "Theory and Practice of Quantitative ATL",
abstract = "In multi-agent system design and reasoning, strategy logics and formal verification play pivotal roles. Numerous logic formalisms have been introduced alongside the implementation of formal verification tools. Recently, also spurred by applications in neuro-symbolic AI, there has been a growing interest in modelling and reasoning about quantitative aspects of multi-agent systems as well. This paper introduces a quantitative strategic logic called ATL[F], which extends the well known Alternating-time Temporal Logic with fuzzy functions. We have developed an algorithm to model check a multi-agent system with respect to an ATL[F] formula, and implemented it within the VITAMIN tool. The paper also provides execution examples to show how the tool behaves and scales in practice.",
author = "Angelo Ferrando and Giulia Luongo and Vadim Malvone and Aniello Murano",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 25th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2024 ; Conference date: 18-11-2024 Through 24-11-2024",
year = "2025",
month = jan,
day = "1",
doi = "10.1007/978-3-031-77367-9\_18",
language = "English",
isbn = "9783031773662",
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 = "231--247",
editor = "Ryuta Arisaka and Takayuki Ito and Victor Sanchez-Anguix and Sebastian Stein and Reyhan Aydoğan and \{van der Torre\}, Leon",
booktitle = "PRIMA 2024",
}