  | HULSTIJN, J., DONG, H., & MARKOVICH, R. (2024). Analyzing Epistemic Injustice. JURIX workshop on AI, Law and Philosophy. |
 | LIGA, D., MARKOVICH, R., & Amitrano, D. (2023). PaTrOnto, an ontology for patents and trademarks [Paper presentation]. JURISIN 2023, Kumamoto, Japan.  Peer reviewed |
 | LIGA, D., MARKOVICH, R., & Fidelangeli, A. (2023). OntoVAT, an ontology for knowledge extraction in VAT-related judgments [Paper presentation]. JURISIN 2023, Kumamoto, Japan. Peer reviewed |
LIGA, D., Bentzen, B., Liao, B., MARKOVICH, R., Xiong, M., Wei, B., & Xu, T. (Eds.). (2023). Logics for AI and Law: Joint Proceedings of the Third International Workshop on Logics for New-Generation Artificial Intelligence and the International Workshop on Logic, AI and Law, September 8-9 and 11-12, 2023, Hangzhou. Hangzhou, China: College Publications. Editorial reviewed |
 | DONG, H., VAN DER TORRE, L., MARKOVICH, R., Dragan Doder, Marc van Zee, & LI, X. (2023). Rights and Practical Reasoning in Deontic Logic. In J. Maranhão, C. Peterson, C. Straßer, ... L. VAN DER TORRE, Deontic Logic and Normative Systems 16th International Conference, DEON 2023. Trois-Rivières, Canada: Deontic Logic and Normative Systems 16th International Conference, DEON 2023. Peer reviewed |
 | YU, L., Zichichi, M., MARKOVICH, R., & NAJJAR, A. (2022). Enhancing Trust in Trust Services: Towards an Intelligent Human-input-based Blockchain Oracle (IHiBO). In Proceedings of the 55th Annual Hawaii International Conference on System Sciences. doi:10.5220/0010945300003116 Peer reviewed |
  | Yu, L., Zichichi, M., MARKOVICH, R., & Najjar, A. (2022). Intelligent Human-input-based Blockchain Oracle (IHiBO). In Proceedings of the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, Volume 1. Peer reviewed |
 | LI, X., GABBAY, D. M., & MARKOVICH, R. (2022). Dynamic Deontic Logic for Permitted Announcements. 19th International Conference on Principles of Knowledge Representation and Reasoning, KR 2022, 226-235. Peer reviewed |
 | Dong, H., Liao, B., MARKOVICH, R., & VAN DER TORRE, L. (2022). Defeasible Deontic Logic: Arguing about Permission and Obligation. IfCoLog Journal of Logics and Their Applications, 9 (4), 957-1018. Peer reviewed |
 | Liao, B., MARKOVICH, R., & Wáng, Y. (Eds.). (2022). Logics for New-Generation AI. College Publications. |
 | LEIVA, L. A., PRUSKI, C., MARKOVICH, R., NAJJAR, A., & SCHOMMER, C. (Eds.). (2022). Artificial Intelligence and Machine Learning - 33rd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2021, Esch-sur-Alzette, Luxembourg, November 10-12, 2021, Revised Selected Papers. Springer. |
 | LEIVA, L. A., PRUSKI, C., MARKOVICH, R., NAJJAR, A., & SCHOMMER, C. (Eds.). (2021). Proceedings of BNAIC/BeneLearn 2021. Luxembourg: BnL. |
 | YU, L., Zichichi, M., NAJJAR, A., & MARKOVICH, R. (2021). Argumentation in Trust Services within a Blockchain Environment. In L. A. LEIVA, C. PRUSKI, A. NAJJAR, R. MARKOVICH, ... C. SCHOMMER, Proceedings of the 33rd Benelux Conference on Artificial Intelligence and the 30th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2021) (pp. 1-21). Peer reviewed |
 | MARKOVICH, R., NAJJAR, A., & VAN DER TORRE, L. (2021). New-Generation AIs Reasoning about Norms and Values. In Logics for New-Generation AI 2021. |
Dong, H., MARKOVICH, R., & VAN DER TORRE, L. (2021). Towards AI Logic for Social Reasoning. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/49906. |
 | MARKOVICH, R., & Roy, O. (2021). A Logical Analysis of Freedom of Thought. In Deontic Logic and Normative Systems. College Publications. Peer reviewed |
 | MARKOVICH, R., & Roy, O. (2021). Formalizing the Right to Know – Epistemic Rights as Normative Positions. In Logics for New-Generation AI 2021. Peer reviewed |
 | MARKOVICH, R., & Roy, O. (2021). Cause of Action and the Right to Know. In Legal Knowledge and Information Systems. Peer reviewed |
 | YU, L., MARKOVICH, R., & VAN DER TORRE, L. (2020). Interpretations of Support Among Arguments. In Proceedings of the 33rd International Conference on Legal Knowledge and Information Systems (JURIX 2020) (pp. 194-203). doi:10.3233/FAIA200863 Peer reviewed |
 | Dong, H., MARKOVICH, R., & VAN DER TORRE, L. (2020). Developing AI Logic for Social Reasoning. Journal of Zhejiang University. Peer reviewed |
 | Yu, L., MARKOVICH, R., & VAN DER TORRE, L. (2020). Interpretation of Support among Arguments. Legal Knowledge and Information Systems – Frontiers in Artificial Intelligence and Application Series. doi:10.3233/FAIA200863 Peer reviewed |
 | Syi, Hamp, G., & MARKOVICH, R. (2020). Legal Data Actions. Jusletter IT. doi:10.38023/c66e4073-295f-48e3-ac3e-8e527519c655 Peer reviewed |
 | CASINI, G., Di Caro, L., Governatori, G., LEONE, V., & MARKOVICH, R. (2020). Mining and Reasoning with Legal Texts – MIREL 2019. CEUR Workshop Proceedings. Peer reviewed |
 | Long, G. A., Santos, C., Rapp, L., MARKOVICH, R., & VAN DER TORRE, L. (2020). Artificial Intelligence in Space. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/46692. |
 | MARKOVICH, R. (2019). On the Formal Structure of Rules in Conflict of Laws. In Legal Knowledge and Information Systems 2019 (proceedings). IOS Press. doi:10.3233/FAIA190325 Peer reviewed |
 | MARKOVICH, R. (2019). Two Limitations in Legal Knowledge Base Constructing and Formalizing Law. IfCoLog Journal of Logics and Their Applications. Peer reviewed |
 | MARKOVICH, R. (2019). Rights and Punishment: The Hohfeldian Theory’s Applicability and Morals in Understanding Criminal Law. IfCoLog Journal of Logics and Their Applications. Peer reviewed |
 | Dong, H., Liao, B., MARKOVICH, R., & VAN DER TORRE, L. (2019). From Classical to Non-monotonic Deontic Logic Using ASPIC+. In Logic, Rationality, and Interaction - 7th International Workshop LORI 2019, Chongqing, China, October 18-21, 2019, Proceedings (pp. 71--85). doi:10.1007/978-3-662-60292-8\_6 Peer reviewed |
 | MARKOVICH, R. (2019). “Understanding Hohfeld and Formalizing Legal Rights: the Hohfeldian Conceptions and Their Conditional Consequences. Studia Logica. doi:10.1007/s11225-019-09870-5 Peer reviewed |