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Results: 72
Number of items: 72
  • 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., 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
    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
    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
  • 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
    Wilms, M., Sileno, G., & Haned, H. (2022). PEBAM: A Profile-Based Evaluation Method for Bias Assessment on Mixed Datasets. In R. Bergmann, L. Malburg, S. C. Rodermund, & I. J. Timm (Eds.), KI 2022: Advances in Artificial Intelligence: 45th German Conference on AI, Trier, Germany, September 19–23, 2022 : proceedings (pp. 209-223). (Lecture Notes in Computer Science; Vol. 13404), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-15791-2_17
  • 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
    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
  • Open Access
    Rieder, B., Sileno, G., & Gordon, G. (2021). A New AI Lexicon: Monopolization: Concentrated power and economic embeddings in ML & AI. In A New AI Lexicon: Responses and Challenges to the Critical AI discourse AI Now Institute. https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-monopolization-c43f136981ab
  • Open Access
    Pascucci, M., & Sileno, G. (2021). The Search for Symmetry in Hohfeldian Modalities. In A. Basu, G. Stapleton, S. Linker, C. Legg, E. Manalo, & P. Viana (Eds.), Diagrammatic Representation and Inference: 12th International Conference, Diagrams 2021, Virtual, September 28–30, 2021 : proceedings (pp. 87-102). (Lecture Notes in Computer Science; Vol. 12909), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-86062-2_9
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