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Results: 160
Number of items: 160
  • Kwik, J., Zurek, T., & van Engers, T. (2022). Designing International Humanitarian Law into Military Autonomous Devices. 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. 1-18). (Lecture Notes in Computer Science; Vol. 13549), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-20845-4_1
  • Open Access
    Parizi, M. M., van Binsbergen, L. T., Sileno, G., & van Engers, T. (2022). A Modular Architecture for Integrating Normative Advisors in MAS. In D. Baumeister, & J. Rothe (Eds.), Multi-Agent Systems: 19th European Conference, EUMAS 2022, Düsseldorf, Germany, September 14–16, 2022 : proceedings (pp. 312-329). (Lecture Notes in Computer Science; Vol. 13442), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-20614-6_18
  • Open Access
    Zurek, T., Mohajeriparizi, M., Kwik, J., & van Engers, T. (2022). Can a Military Autonomous Device Follow International Humanitarian Law? 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. 273-278). (Frontiers in Artificial Intelligence and Applications; Vol. 362). IOS Press. https://doi.org/10.3233/FAIA220479
  • Open Access
    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
  • Open Access
    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
  • Open Access
    van der Zwet, K., Barros, A. I., van Engers, T. M., & Sloot, P. M. A. (2022). Emergence of protests during the COVID-19 pandemic: quantitative models to explore the contributions of societal conditions. Humanities and Social Sciences Communications, 9, Article 68. https://doi.org/10.1057/s41599-022-01082-y
  • Open Access
    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
  • Open Access
    van Binsbergen, L. T., Kebede, M. G., Baugh, J., van Engers, T., & van Vuurden, D. G. (2022). Dynamic generation of access control policies from social policies. Procedia Computer Science, 198, 140-147. https://doi.org/10.1016/j.procs.2021.12.221
  • Open Access
    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
  • Open Access
    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
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