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Results: 164
Number of items: 164
  • Open Access
    Zhou, X. (2024). From empowering to motivating: Enhancing policy enforcement through process design and incentive implementation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Zurek, T., Kwik, J., & van Engers, T. (2024). Values, Proportionality, and Uncertainty in Military Autonomous Devices. In N. Osman, & L. Steels (Eds.), Value Engineering in Artificial Intelligence : First International Workshop, VALE 2023, Krakow, Poland, September 30, 2023 : proceedings (pp. 219-236). (Lecture Notes in Computer Science; Vol. 14520), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-58202-8_13
  • Open Access
    Fratric, P. (2024). A simulation-driven approach to non-compliance. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Mohajeri Parizi, M. (2024). An agent-based approach to the governance of complex cyber-infrastructures. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Kwik, H. C. J. (2024). Lawfully using autonomous weapon technologies: A theoretical and operational perspective. [Thesis, fully internal, Universiteit van Amsterdam].
  • Kwik, J., & van Engers, T. (2023). Performance or Explainability? A Law of Armed Conflict Perspective. In A. Kornilakis, G. Nouskalis, V. Pergantis, & T. Tzimas (Eds.), Artificial Intelligence and Normative Challenges: International and Comparative Legal Perspectives (pp. 255-279). (Law, Governance and Technology series; Vol. 59). Springer. https://doi.org/10.1007/978-3-031-41081-9_14
  • Open Access
    van der Zwet, K., Barros, A. I., van Engers, T. M., & Sloot, P. M. A. (2023). Promises and pitfalls of computational modelling for insurgency conflicts. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 20(3), 333-350. https://doi.org/10.1177/15485129211073612
  • Open Access
    Kebede, M. G., van Binsbergen, T., van Engers, T., & van Vuurden, D. G. (2023). Towards a Purpose-Based Access Control Model Derived from the Purpose Limitation Principle. In G. Sileno, J. Spanakis, & G. van Dijck (Eds.), Legal Knowledge and Information Systems: JURIX 2023: The Thirty-sixth Annual Conference, Maastricht, the Netherlands, 18-20 December 2023 (pp. 143-148). (Frontiers in Artificial Intelligence and Applications; Vol. 379). IOS Press. https://doi.org/10.3233/FAIA230958
  • Open Access
    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
  • Open Access
    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
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