Dr Tomasz Zurek


  • Department:
  • Research strand: Regulation in the public interest: Disruptive technologies in peace and security
  • Main fields of interest: Artificial Intelligence


Tomasz Zurek is a post-doc researcher at the T.M.C. Asser Institute. He holds a master’s degree in management (1999) and doctorate in computer science (2004; the dissertation concerned the utilization of artificial intelligence in banking). His current scientific interests focus on representation of legal knowledge and modeling of legal reasoning and argumentation, especially the modeling of informal ways of reasoning.

For a number of years Tomasz has worked as assistant professor at the Institute of Computer Science at Maria Curie Sklodowska University in Lublin, Poland (currently on sabbatical), successfully combining research and teaching. His recent activities also include a research visit at Swansea University (2020), the position of Artificial Intelligence Expert for Deep Clue sp. z o. o. (2020 – 2021), as well as work on grant projects and initiatives dedicated to sharing, supporting, and popularizing knowledge.

Tomasz has authored and co-authored over 50 peer-reviewed papers. He belongs to the International Association of Artificial Intelligence and Law and is a member of the steering committee of the ArgDiaP Association (http://argdiap.pl/), whose main goal is coordination of the activities of the Polish School of Argumentation. Tomasz has also served as a member of the program committees of a number of renowned conferences and workshops devoted to Artificial Intelligence and Law.


Website: https://tomaszzurek.wordpress.com


Journal and conference papers:

  1. Araszkiewicz, M., Zurek, T.: “Preface”. Journal of Applied Logics - IfCoLog Journal, Special Issue: Reasoning with and about Legal Evidence, ed. by: Araszkiewicz, M. and Zurek, T., vol. 9, no. 9, October 2021.  https://collegepublications.co.uk/ifcolog/?00051    
  2. Zurek, T., Mokkas, M.: “Value-based reasoning in autonomous agents”.  International Journal of Computational Intelligence Systems 2021, ISSN: 1875-6883, DOI: https://doi.org/10.2991/ijcis.d.210203.001.
  3. Araszkiewicz, M., Zurek, T., Kuzniacki, B.: “Reasoning with and about factors in statutory interpretation” CEUR Workshop Proceedings, 2020, 2632
  4. Araszkiewicz, M., Zurek, T.: “A dialogical framework for disputed issues in legal interpretation” CEUR Workshop Proceedings, 2019, 2381
  5. Budzynska, K., Araszkiewicz, M., Budzynska-Daca, A., Hinton, M., Lawrence, J., Modgil, S., Thimm, M., Visser, J., Zurek, T., Koszowy, M., Atkinson, K., Debowska-Kozlowska, K., Kacprzak, M., Lupkowski, P., Skowron, B., Urbanski, M., & Zaleska, M. (2018). Warsaw Argumentation Week (Waw 2018) Organised by the Polish School of Argumentation and Our Colleagues from Germany and the UK, 6th-16th September 2018, Studies in Logic, Grammar and Rhetoric, 55(1), 231-239. doi: https://doi.org/10.2478/slgr-2018-0036
  6. Zurek T., Araszkiewicz M.: “Modelling Legal Interpretation in Structured Argumentation Framework,” Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 15, IEEE, pages 155–158 (2018)
  7. Araszkiewicz M., Zurek T.: “Balancing with Thresholds” In: “Legal Knowledge and Information Systems: JURIX 2017 The Thirtieth Annual Conference”, eds.: Adam Z. Wyner and Giovanni Casini, pp. 107-112, IOS Press, Amsterdam, 2017 (http://ebooks.iospress.nl/volumearticle/48051).
  8. Zurek, T., Mokkas, M. “Modeling value-based reasoning for autonomous agents,” 2017 Federated Conference on Computer Science and Information Systems (FedCSIS), ACSIS, Vol.11, IEEE, pp. 259-262. doi: 10.15439/2017F282 (2017)
  9. Araszkiewicz M, Lopatkiewicz A., Zurek T.: “The tradition of legal expert systems: possibilities, limitations and the way forward” In: “Trends und Communities der Rechtsinformatik: Tagungsband des 20. Internationalen Rechtsinformatik Symposions IRIS 2017”, eds.: Schweighofer E, Kummer F, Hötzendorfer W, Sorge Ch. pp: 123-130, Wien, Austria 2017, ISBN: 978-3-903035-15-7
  10. Zurek, T.: “Goals, values, and reasoning”, Expert Systems with Applications, Volume 71, 2017, Pages 442-456, ISSN 0957-4174, http://dx.doi.org/10.1016/j.eswa.2016.11.008
  11. Araszkiewicz M., Zurek T.: “Interpreting Agents” In: “Legal Knowledge and Information Systems : JURIX 2016: The Twenty-Ninth Annual Conference”, eds.: F. Bex and S. Villata, pp. 13-22, IOS Press, Amsterdam, 2016 (http://ebooks.iospress.nl/volumearticle/45732).
  12. Zurek, T., “Modeling conflicts between legal rules,” 2016 Federated Conference on Computer Science and Information Systems (FedCSIS), Gdansk, 2016, pp. 393-402. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733268&isnumber=7733200
  13. Zurek, T., Mokkas, M., Ksiezopolski, B., “On the Modelling of Context-Aware Security for Mobile Devices”, Mobile Information Systems Volume 2016 (2016), Article ID 8743504, http://dx.doi.org/10.1155/2016/8743504
  14. Araszkiewicz M., Zurek T.: “Preface: Methodologies for Research on Legal Argumentation”, Special Issue of Informal Logic Journal: Methodologies for Research on Legal Argumentation, eds.: Araszkiewicz M., Zurek, T., Vol 36, No 3 (2016) (http://ojs.uwindsor.ca/ojs/leddy/index.php/informal_logic/article/view/4717).
  15. Araszkiewicz M., Zurek T.: “Comprehensive Framework Embracing the Complexity of Statutory Interpretation” In: “Legal Knowledge and Information Systems –JURIX 2015”, eds.: Rotolo N., pp. 145-148, IOS Press, Amsterdam, 2015 (http://ebooks.iospress.nl/volumearticle/41986).
  16. Araszkiewicz M. Lopatkiewicz A. Zienkiewicz A. Zurek T.: “Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts” The Scientific World Journal 2015, Hindawi, (https://www.hindawi.com/journals/tswj/2015/985425/).
  17. Araszkiewicz M. Lopatkiewicz A. Zienkiewicz A. Zurek T. “Representation of an Actual Divorce Dispute in the Parenting Plan Support System” Proceedings of 14-th International Conference of Artificial Intelligence and Law, ACM New York, 2015, (http://dl.acm.org/citation.cfm?id=2746119).
  18. Zurek T. “Model of Argument from Social Importance” In: “Legal Knowledge and Information Systems – JURIX 2014”, eds.: Hoekstra R., pp. 23-28, IOS Press, Amsterdam, 2014, (http://ebooks.iospress.nl/volumearticle/38434).
  19. Ksiezopolski B., Zurek T., Mokkas M. “Quality of Protection evaluation of security mechanisms”. The Scientific World Journal 2014, Hindawi, (https://www.hindawi.com/journals/tswj/2014/725279/).
  20. K. Budzynska, M. Araszkiewicz, B. Bogolebska, P. Cap, K. Debowska-Kozlowska, B. Dunin-Kleplicz, M. Dziubinski, M. Federowicz, A. Gomolinska, A. Grabowski, L. Jochemczyk, M. Kacprzak, P. Kawalec, M. Kielar, A. Kisielewicz, M. Koszowy, R. Kublikowski, P. Kulicki, A. Kuzio, P. Lewinski, J. Lichanski, J. Malinowski, W. Marciszewski, E. Nieznanski, J. Pietrzak, J. Pogonowski, T. A. Puczylowski, J. Rytel, A. Sawicka, M. Selinger, A. Skowron, J. Skulska, M. Smolak, M. Sokól, A. Sowinska, P. Stalmaszczyk, T. Stawecki, A.Strachocka, K. Szymanek, J. Tomczyk, R. Trypuz, K. Trzesicki, M. Urbanski, E. Wasilewska-Kaminska, K. Wieczorek, M. Witek, U. Wybraniec-Skardowska, O. Yaskorska, M. Zaleska, K. Zdanowski, T. Zurek: “The Polish School of Argumentation: A Manifesto”. Argumentation, vol. 28 (3), pp. 267-282, Springer, 2014, (http://link.springer.com/article/10.1007/s10503-014-9320-8 .
  21. Zurek T. “Causality and Other Aspects of Instrumental Reasoning”. In Business Information Systems Workshops. Eds Witold Abramowicz. Lecture Notes in Bussines Information Processing. Vol. 160, pp.184-195, Springer 2013, (http://link.springer.com/chapter/10.1007/978-3-642-41687-3_18).
  22. Araszkiewicz M., Zurek T. “Modelling of teleological interpretation”. Proceedings of 13-th International Conference of Artificial Intelligence and Law, pp. 160-168, ACM New York, 2013, (http://dl.acm.org/citation.cfm?id=2514619).
  23. Leszczyn´ska A., Z?urek T. “The application of fuzzy logic to an organization’s sustainable development assessment”. Organizacja i Zarzadzanie, no. 2(18), pp. 117-138, 2012.
  24. Zurek T. “Modelling of A’fortiori Reasoning”. Expert Systems with Aplications, vol. 39, no. 11, pp. 10772-10779, Elsevier, 2012, (http://www.sciencedirect.com/science/article/pii/S0957417412004617).
  25. Zurek T. “Conflicts in legal knowledge base”. Foundations of Computing and Decision Sciences, vol. 37, no. 2, pp. 129-144, 2012 (https://doi.org/10.2478/v10209-011-0006-9)
  26. Zurek T. “Instrumental Reasoning in Legal Expert System”. In: “Legal Knowledge and Information Systems – JURIX 2011”, eds.: Katie M. Atkinson, pp. 155-162, IOS Press, Amsterdam, 2011, (http://ebooks.iospress.nl/publication/6700).
  27. Zurek T. “Modelling of A’fortiori Reasoning”. Proceedings of 13-th International Conference of Artificial Intelligence and Law, pp. 96-100, ACM New York, 2011, (http://dl.acm.org/citation.cfm?id=2018371).
  28. Zurek T. Kruk E. “Legal Advisory System for the Agricultural Tax Law”. In: Business Information Systems Workshops 2009, eds. Witold Abramowicz and Dominik Flejter, pp. 304-309. Lecture Notes of Business Information Processing vol. 37, 2009, (http://link.springer.com/chapter/10.1007/978-3-642-03424-4_36).
  29. Zurek T. Kruk E. “Advisory System for the Agricultural Tax Law”. Proceedings of LNDSS Workshop, eds. M. Poblet, U. Schild, J. Zeleznikow, pp. 77-85, HUYGENS Editorals, Barcelona, 2009, (http://ceur-ws.org/Vol-482/Paper_7.pdf).

Special issues (edited):

  1. Araszkiewicz, M. and Zurek, T.: (2021, Eds.) Reasoning with and about Legal Evidence, the special issue of Journal of Applied Logics - IfCoLog Journal (College Publications), vol. 9, no. 9, October 2021. https://collegepublications.co.uk/ifcolog/?00051
  2. Araszkiewicz, M., Zurek, T. (2016, Eds.) Methodologies for Research on Legal Argumentation, the special issue of Informal Logic (University of Windsor, Canada), vol. 36, no 3.


  1. Zurek T. “Komputerowe wspomaganie procesu podejmowania decyzji kredytowych”, (English: Computer Support in Credit Granting Decisions ) Wydawnictwo Pracowni Komputerowej Jacka Skalmierskiego, Gliwice 2005.


  1. Zurek T.: “Metody sztucznej inteligencji.” (English: Methods of Artificial Intelligence), Uniwersytet Marii Curie Sklodowskiej, Lublin 2011.
  2. Kufel M., Zurek T. “Eksploracja danych” (English: Data Mining) Uniwersytet Marii Curie Sklodowskiej, Lublin 2012.