@inproceedings{087b8162f9a94f6b929f88e9819cb516,
title = "Formal Analysis of Responsibility Attribution in a Multimodal Framework",
abstract = "The present article is devoted to a logical treatment of some fundamental concepts involved in responsibility attribution. We specify a theoretical framework based on a language of temporal deontic logic with agent-relative operators for deliberate causal contribution. The framework is endowed with a procedure to solve normative conflicts which arise from the assessment of different normative sources. We provide a characterization result for a basic system within this framework and illustrate how the concepts formalized can be put at work in the analysis of examples of legal reasoning.",
keywords = "Legal reasoning, Multi-agent deontic logic, Norm interpretation, Responsibility",
author = "Daniela Glavani{\v c}ov{\'a} and Matteo Pascucci",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019 ; Conference date: 28-10-2019 Through 31-10-2019",
year = "2019",
doi = "10.1007/978-3-030-33792-6_3",
language = "English",
isbn = "9783030337919",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "36--51",
editor = "Matteo Baldoni and Mehdi Dastani and Beishui Liao and Yuko Sakurai and {Zalila Wenkstern}, Rym",
booktitle = "PRIMA 2019",
}