Fratrič, P., Klous, S., & van Engers, T. (2023). Using a Model of Fraudulent Trader for Fraud Detection. In G. Sileno, N. Lettieri, & C. Becker (Eds.), Proceedings of the 2nd Workshop on Agent-based Modeling and Policy-Making (AMPM 2022): co-located with 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022) : Saarbrücken, Germany, December 14, 2022 Article 2 (CEUR Workshop Proceedings; Vol. 3420). CEUR-WS. https://ceur-ws.org/Vol-3420/paper2.pdf[details]
Fratrič, P., Mohajeri Parizi, M., Sileno, G., van Engers, T., & Klous, S. (2023). Do agents dream of abiding by the rules? Learning norms via behavioral exploration and sparse human supervision. In Nineteenth International Conference on Artificial Intelligence and Law: Proceedings of the Conference : Braga, Portugal, June 19-23, 2023, Universidade do Minho Law School (pp. 81-90). The Association for Computing Machinery. https://doi.org/10.1145/3594536.3595153[details]
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[details]
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[details]
Fratrič, P., Sileno, G., van Engers, T., & Klous, S. (2022). Computational Discovery of Transaction-Based Financial Crime via Grammatical Evolution: The Case of Ponzi Schemes. In N. Ajmeri, A. Morris Martin, & B. T. R. Savarimuthu (Eds.), Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV: International Workshop, COINE 2022, virtual event, May 9, 2022 : revised selected papers (pp. 109-120). (Lecture Notes in Computer Science; Vol. 13549), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-20845-4_7[details]
Fratrič, P., Sileno, G., van Engers, T., & Klous, S. (2020). Integrating agent-based modelling with copula theory: Preliminary insights and open problems. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. III, pp. 212-225). (Lecture Notes in Computer Science; Vol. 12139). Springer. https://doi.org/10.1007/978-3-030-50420-5_16[details]
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