Search results
Results: 164
Number of items: 164
-
Fratrič, P., Sileno, G., van Engers, T., & Klous, S. (2022). A Compression and Simulation-Based Approach to Fraud Discovery. In E. Francesconi, G. Borges, & C. Sorge (Eds.), Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14-16 December 2022 (pp. 176-181). (Frontiers in Artificial Intelligence and Applications; Vol. 362). IOS Press. https://doi.org/10.3233/FAIA220463 -
Mohajeriparizi, M., Sileno, G., & van Engers, T. (2022). Preference-Based Goal Refinement in BDI Agents. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems : May 9-13, 2022, virtual event, New Zealand (Vol. 2, pp. 917-925). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3535850.3535953 -
Fratrič, P., Sileno, G., Klous, S., & van Engers, T. (2022). Manipulation of the Bitcoin market: an agent-based study. Financial Innovation, 8, Article 60. https://doi.org/10.1186/s40854-022-00364-3 -
Sartor, G., Araszkiewicz, M., Atkinson, K., Bex, F., van Engers, T., Francesconi, E., Prakken, H., Sileno, G., Schilder, F., Wyner, A., & Bench-Capon, T. (2022). Thirty years of Artificial Intelligence and Law: the second decade. Artificial Intelligence and Law, 30(4), 521-557. https://doi.org/10.1007/s10506-022-09326-7 -
Mohajeri Parizi, M., Sileno, G., & van Engers, T. (2022). Seamless Integration and Testing for MAS Engineering. In N. Alechina, M. Baldoni, & B. Logan (Eds.), Engineering Multi-Agent Systems: 9th International Workshop, EMAS 2021, virtual event, May 3–4, 2021 : revised selected papers (pp. 254-272). (Lecture Notes in Computer Science; Vol. 13190), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-97457-2_15 -
Zurek, T., Woodcock, T., Pacholska, M., & Van Engers, T. (2022). Computational Modelling of the Proportionality Analysis under International Humanitarian Law for Military Decision-Support Systems. T.M.C. Asser Institute. https://doi.org/10.2139/ssrn.4008946 -
Zhou, X., Belloum, A., Lees, M. H., van Engers, T., & de Laat, C. (2022). Costly incentives design from an institutional perspective: cooperation, sustainability and affluence. Proceedings of the Royal Society A-Mathematical, Physical and Engineering Sciences, 478(2265), Article 20220393. https://doi.org/10.1098/rspa.2022.0393 -
Kebede, M. G., Sileno, G., & Van Engers, T. (2021). A Critical Reflection on ODRL. In V. Rodríguez-Doncel, M. Palmirani, M. Araszkiewicz, P. Casanovas, U. Pagallo, & G. Sartor (Eds.), AI Approaches to the Complexity of Legal Systems XI-XII: AICOL International Workshops 2018 and 2020: AICOL-XI@JURIX 2018, AICOL-XII@JURIX 2020, XAILA@JURIX 2020 : revised selected papers (pp. 48-61). (Lecture Notes in Computer Science; Vol. 13048), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-89811-3_4 -
Mohajeri Parizi, M., Sileno, G., & van Engers, T. (2021). Declarative Preferences in Reactive BDI Agents. In T. Uchiya, Q. Bai, & I. Marsá Maestre (Eds.), PRIMA 2020: Principles and Practice of Multi-Agent Systems: 23rd International Conference, Nagoya, Japan, November 18–20, 2020 : proceedings (pp. 215-230). (Lecture Notes in Computer Science; Vol. 12568), ( Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-69322-0_14
Page 4 of 17