Publicaties
2026
Wetenschappelijke publicaties
Meijer, A., Schäfer, M. T., & Bex, F. (2026). Rules of engagement: Preserving academic values in impactful collaborations with public sector partners. In K. May-Chahal, F. Mijland, & S. Postema (Eds.), Community-University Engagement and Praxis: Knocking on the Door of the Ivory Tower (pp. 218-232). Policy Press. [DOI]
Odekerken, D., Bex, F., & Prakken, H. (2026). Precedent-based reasoning with incomplete information for human-in-the-loop decision support. Artificial Intelligence and Law, 34(1), 107-152. [DOI] [Repository]
2025
Wetenschappelijke publicaties
Peters, J., Bex, F., & Prakken, H. (2025). Justifying black-box predictions with domain knowledge. In J. Maranhao (Ed.), Proceedings of the 20th International Conference on Artificial Intelligence and Law (pp. 103-113). Association for Computing Machinery. [DOI] [Repository]
Bench-Capon, T. J. M., Atkinson, K. D., Bex, F., Prakken, H., & Verheij, H. B. (2025). Computational models of legal argument. IfCoLog Journal of Logics and their Applications, 12(3), 323-425. https://www.collegepublications.co.uk/ifcolog/?00071 [Repository]
Nieuwenhuizen, E. N., Meijer, A. J., Bex, F. J., & Grimmelikhuijsen, S. G. (2025). Explanations Increase Citizen Trust in Police Algorithmic Recommender Systems: Findings from Two Experimental Tests. Public Performance and Management Review, 48(3), 590-625. [DOI] [Repository]
Bex, F. J. (2025). AI, Law and beyond. A transdisciplinary ecosystem for the future of AI & Law. Artificial Intelligence and Law, 33, 253-270. [DOI] [Repository]
2024
Wetenschappelijke publicaties
Robeer, M., Bron, M., Herrewijnen, E., Hoeseni, R., & Bex, F. (2024). The Explabox: Model-Agnostic Machine Learning Transparency & Analysis. arXiv. [DOI] [Repository]
Bench-Capon, T. J. M., Atkinson, K., Bex, F., Prakken, H., & Verheij, H. B. (2024). Computational models of legal argument. In D. Gabbay, G. Kern-Isberner, G. R. Simari, & M. Thimm (Eds.), Handbook of Formal Argumentation (Vol. 3, pp. 1-123). College Publications. [Repository]
Craandijk, D., & Bex, F. (2024). Effects of Graph Neural Network Aggregation Functions on Generalizability for Solving Abstract Argumentation Semantics. CEUR Workshop Proceedings, 3757, 83-89. [Repository]
Peters, J., Bex, F., & Prakken, H. (2024). Arguments based on domain rules in prediction justifications. In CEUR Workshop Proceedings (Vol. 3769, pp. 90-99). (CEUR Workshop Proceedings; Vol. 3769). CEUR WS. [Repository]
Scheffers, R., Bex, F., & Borg, A. (2024). Related Explanations in Formal Argumentation, an Empirical Study. In Computational Models of Argument: Proceedings of COMMA 2024 (pp. 265-276). (Frontiers in Artificial Intelligence and Applications; Vol. 388). IOS Press. [DOI] [Repository]
Herrewijnen, E., Nguyen, D., Bex, F., & van Deemter, K. (2024). Human-annotated rationales and explainable text classification: a survey. Frontiers in Artificial Intelligence, 7, Article 1260952. [DOI] [Repository]
Blaauw, M., Peters, J., Bex, F., & van de Weerd, I. (2024). Orchestrating Sensemaking: Investigating the Sensemaking Processes and its Enablers at the Dutch Police. In Proceedings of the 32nd European Conference on Information Systems (ECIS 2024)
Kolkman, D., Bex, F., Naryan, N., & van der Put, M. (2024). Justitia ex machina: The impact of an AI system on legal decision-making and discretionary authority. Big Data and Society, 11(2). [DOI] [Repository]
Borg, A., & Bex, F. (2024). Minimality, necessity and sufficiency for argumentation and explanation. International Journal of Approximate Reasoning, 168, Article 109143. [DOI] [Repository]
Bex, F. (2024). Transdisciplinary Research as a Way Forward in AI & Law. Journal of Cross-disciplinary Research in Computational Law (CRCL), 2(2), 1-12. https://journalcrcl.org/crcl/article/view/61 [Repository]
Odekerken, D., Borg, A., & Bex, F. (2024). Justification, stability and relevance in incomplete argumentation frameworks. Argument and Computation, 15(3), 251-308. [DOI] [Repository]
2023
Wetenschappelijke publicaties
Odekerken, D., Bex, F., & Prakken, H. (2023). Precedent-Based Reasoning with Incomplete Cases. In G. Sileno, J. Spanakis, & G. V. Dijck (Eds.), Legal Knowledge and Information Systems: Proceedings of Jurix 2023 (pp. 33-42). (Frontiers in Artificial Intelligence and Applications; Vol. 379). IOS Press. [DOI] [Repository]
Robeer, M., Bex, F., Feelders, A., & Prakken, H. (2023). Explaining Model Behavior with Global Causal Analysis. In L. Longo (Ed.), Explainable Artificial Intelligence: First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I (1 ed., pp. 299–323). (Communications in Computer and Information Science; Vol. 1901). Springer. [DOI] [Repository]
Testerink, B., Nieuwenhuizen, E., & Bex, F. (2023). Wat doet het ertoe dat je een mens bent? Autonome AI-systemen voor de politie. Cahiers Politiestudies, 66(1).
Otero Moreira, C., Craandijk, D., & Bex, F. (2023). ORLA: Learning Explainable Argumentation Models. In Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning (pp. 542-551). IJCAI Organization. [DOI] [Repository]
Kilic, B., Bex, F., & Gatt, A. (2023). Contrast is all you need. In Proceedings of the Sixth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2023) (Vol. 3441, pp. 72-82). (CEUR Workshop Proceedings). CEUR WS. https://ceur-ws.org/Vol-3441/paper8.pdf [Repository]
Peters, J., Bex, F., & Prakken, H. (2023). Model- and data-agnostic justifications with a fortiori case-based argumentation. In C. Algoritmi, & T. Reuters (Eds.), ICAIL '23: Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law (pp. 207-216). Association for Computing Machinery. [DOI] [Repository]
Odekerken, D., Bex, F., & Prakken, H. (2023). Justification, stability and relevance for case-based reasoning with incomplete focus cases. In Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law (pp. 177-186). Association for Computing Machinery. https://webspace.science.uu.nl/~prakk101/papers/icail23obp.pdf
2022
Wetenschappelijke publicaties
Bex, F., & Verheij, B. (2022). Stories about Evidence. In R. Horselenberg, V. V. Koppen, & J. D. Keijser (Eds.), Bakens in de Rechtspsychologie: Liber Amoricum voor Peter van Koppen (1 ed.). Boom criminologie.
Craandijk, D., & Bex, F. (2022). EGNN: A Deep Reinforcement Learning Architecture for Enforcement Heuristics. In F. Toni, S. Polberg, R. Booth, M. Caminada, & H. Kido (Eds.), Computational Models of Argument - Proceedings of COMMA 2022 (pp. 353-354). (Frontiers in Artificial Intelligence and Applications; Vol. 353). IOS Press. [DOI] [Repository]
Borg, A., & Bex, F. (2022). Modeling Contrastiveness in Argumentation. In Proceedings of the 22nd Workshop on Computational Models of Natural Argument (Vol. 3205, pp. 1-12). CEUR WS. https://ceur-ws.org/Vol-3205 [Repository]
van de Luijtgaarden, N., Prijs, D., Schraagen, M., & Bex, F. (2022). Abstractive Summarization of Dutch Court Verdicts Using Sequence-to-sequence Models. In Proceedings of the Natural Legal Language Processing Workshop 2022 Association for Computational Linguistics.
Peters, J. GT., Bex, F. J., & Prakken, H. (2022). Justifications derived from inconsistent case bases using authoritativeness. In K. Čyras, T. Kampik, O. Cocarascu, & A. Rago (Eds.), Proceedings of the 1st International Workshop on Argumentation for eXplainable AI (ArgXAI 2022) co-located with 9th International Conference on Computational Models of Argument (COMMA 2022) Cardiff, Wales, September 12, 2022. (pp. 1-13). (CEUR Workshop Proceedings; Vol. 3209). CEUR WS. https://ceur-ws.org/Vol-3209/ [Repository]
van Lente, J., Borg, A., & Bex, F. (2022). Everyday Argumentative Explanations for Classification. In I. Kuhlmann, J. Mumford, & S. Sarkadi (Eds.), Argumentation & Machine Learning: Proceedings of the 1st Workshop on Argumentation & Machine Learning co-located with 9th International Conference on Computational Models of Argument (COMMA 2022) (Vol. 3208, pp. 14-26). (CEUR Workshop Proceedings; Vol. 3208). CEUR WS. http://ceur-ws.org/Vol-3208/paper2.pdf [Repository]
Odekerken, D., Borg, A., & Bex, F. (2022). Stability and Relevance in Incomplete Argumentation Frameworks. In F. Toni, S. Polberg, R. Booth, M. Caminada, & H. Kido (Eds.), Computational Models of Argument - Proceedings of COMMA 2022 (pp. 272-283). (Frontiers in Artificial Intelligence and Applications; Vol. 353). [DOI] [Repository]
Odekerken, D., Bex, F., Borg, A., & Testerink, B. (2022). Approximating Stability for Applied Argument-based Inquiry. Intelligent Systems with Applications, 16, Article 200110. [DOI] [Repository]
Sartor, G., Araszkiewicz, M., Atkinson, K. D., Bex, F., van Engers, T., Francesconi, E., Prakken, H., Sileno, G., Schilder, F., Wyner, A. Z., & Bench-Capon, T. J. M. (2022). Thirty years of Artificial Intelligence and Law: the second decade. Artificial Intelligence and Law, 30(4), 521-557. [DOI] [Repository]
Craandijk, D., & Bex, F. (2022). Enforcement Heuristics for Argumentation with Deep Reinforcement Learning. In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) (Vol. 36/5, pp. 5573-5581) [DOI] [Repository]
Borg, A., & Bex, F. (2022). Contrastive Explanations for Argumentation-Based Conclusions. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (pp. 1551-1553). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 3). Association for Computing Machinery. [DOI] [Repository]
Wieten, R., Bex, F., Prakken, H., & Renooij, S. (2022). Deductive and abductive argumentation based on information graphs. Argument and Computation, 13(1), 49-91. [DOI] [Repository]
2021
Wetenschappelijke publicaties
van de Weerd, I., Nieuwenhuis, B., Bex, F., & Beerepoot, I. (2021). Using AI to augment RPA: A conceptual framework. Paper presented at 29th European Conference on Information Systems, ECIS 2021, Marrakech, Morocco. https://aisel.aisnet.org/ecis2021_rp/129/
Herrewijnen, E., Nguyen, D., Mense, J., & Bex, F. (2021). Machine-annotated Rationales: Faithfully Explaining Text Classification. Paper presented at 35th AAAI Conference on Artificial Intelligence.
van Zee, M., Bex, F., & Ghanavati , S. (2021). RationalGRL: A Framework for Argumentation and Goal Modeling. Argument and Computation, 12(2), 191-245. [DOI] [Repository]
Bex, F. J. (2021). Argumentation and Evidence. In C. Dahlman, A. Stein, & G. Tuzet (Eds.), Philosophical Foundations of Evidence Law (pp. 183–198). Oxford University Press. [DOI] [Repository]
Robeer, M., Bex, F., & Feelders, A. (2021). Generating Realistic Natural Language Counterfactuals. In M.-F. Moens, X. Huang, L. Specia, & S. W. Yih (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2021 (pp. 3611–3625). Association for Computational Linguistics. [DOI] [Repository]
Borg, A., & Bex, F. (2021). Enforcing Sets of Formulas in Structured Argumentation. In M. Bienvenu, G. Lakemeyer, & E. Erdem (Eds.), Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning (pp. 130-140). International Joint Conferences on Artificial Intelligence Organization. [DOI] [Repository]
Bex, F., & Prakken, H. (2021). Can predictive justice improve the predictability and consistency of judicial decision-making? In E. Schweighofer (Ed.), Legal Knowledge and Information Systems. JURIX 2021: The Thirty-Fourth Annual Conference (pp. 207-214). (Frontiers in Artificial Intelligence and Applications; Vol. 346). IOS Press. [DOI] [Repository]
Borg, A., & Bex, F. (2021). Explaining Arguments at the Dutch National Police. In V. Rodríguez-Doncel, M. Palmirani, M. Araszkiewicz, P. Casanovas, U. Pagallo, & G. Sartor (Eds.), AI Approaches to the Complexity of Legal Systems XI-XII: AICOL International Workshops 2018 and 2020: AICOL-XI@JURIX 2018, AICOL-XII@JURIX 2020, XAILA@JURIX 2020, Revised Selected Papers (pp. 183-197). (Lecture Notes in Computer Science; Vol. 13048). Springer. [DOI] [Repository]
Borg, A., & Bex, F. (2021). Necessary and Sufficient Explanations for Argumentation-Based Conclusions. In J. Vejnarová, & N. Wilson (Eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021. (pp. 45-58). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12897 LNAI). Springer. [DOI] [Repository]
Wieten, R., Bex, F., Prakken, H., & Renooij, S. (2021). Information graphs and their use for Bayesian network graph construction. International Journal of Approximate Reasoning, 136, 249-280. [DOI] [Repository]
Bex, F., & Prakken, H. (2021). On the relevance of algorithmic decision predictors for judicial decision making. In J. Maranhão (Ed.), ICAIL '21: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law (pp. 175-179). Association for Computing Machinery. [DOI] [Repository]
De Vries, G. M., Bijlsma, J., Mackor, A. M., Bex, F. J., & Meynen, G. (2021). AI-risicotaxatie: nieuwe kansen en risico’s voor statistische voorspellingen van recidive. Strafblad, 2021(2), 58-66. [DOI] [Repository]
Borg, A., & Bex, F. (2021). A Basic Framework for Explanations in Argumentation. IEEE Intelligent Systems, 36(2), 25-35. Article 9329042. [DOI] [Repository]
2020
Wetenschappelijke publicaties
Peters, J. G. T., & Bex, F. J. (2020). Towards a Story Scheme Ontology of Terrorist MOs. In 2020 IEEE International Conference on Intelligence and Security Informatics (ISI) (pp. 1-6). Article 9280515 IEEE. [DOI] [Repository]
Odekerken, D., & Bex, F. J. (2020). Towards Transparent Human-in-the-Loop Classification of Fraudulent Web Shops. In S. Villata, J. Harašta, & P. Křemen (Eds.), Legal Knowledge and Information Systems (Vol. 334, pp. 239-242). (Frontiers in Artificial Intelligence and Applications). IOS Press. [DOI] [Repository]
Prakken, H., Bex, F. J., & Mackor, A. M. (2020). Editors' Review and Introduction: Models of Rational Proof in Criminal Law. Topics in Cognitive Science, 12(4), 1053-1067. [DOI] [Repository]
Odekerken, D., Borg, A., & Bex, F. J. (2020). Estimating Stability for Efficient Argument-based Inquiry. In Computational Models of Argument. Proceedings of COMMA 2020 (pp. 307-318). (Frontiers in Artificial Intelligence and Applications). IOS Press. [DOI] [Repository]
Atkinson, K., Bench-Capon, T. J. M., Bex, F. J., Sartor, G., Prakken, H., & Verheij, B. (2020). In Memoriam Douglas N. Walton: The influence of Doug Walton on AI and Law. Artificial Intelligence and Law, 28(3), 281-326. [DOI] [Repository]
Craandijk, D. F. W., & Bex, F. J. (2020). Deep Learning for Abstract Argumentation Semantics. In C. Bessiere (Ed.), Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence: Yokohama (pp. 1667-1673). International Joint Conferences on Artificial Intelligence. [DOI] [Repository]
Wieten, G. M., Bex, F. J., Prakken, H., & Renooij, S. (2020). Deductive and Abductive Reasoning with Causal and Evidential Information. In H. Prakken, S. Bistarelli, F. Santini, & C. Taticchi (Eds.), Computational Models of Argument: Proceedings of COMMA 2020 (pp. 383-394). (Frontiers in Artificial Intelligence and Applications; Vol. 326). IOS Press. [DOI] [Repository]
Bex, F. J., & Prakken, H. (2020). De Juridische Voorspelindustrie: onzinnige hype of nuttige ontwikkeling? Ars Aequi, 69, 255-259. https://arsaequi-nl.proxy.library.uu.nl/product/de-juridische-voorspelindustrie-onzinnige-hype-of-nuttige-ontwikkeling/ [Repository]
2019
Wetenschappelijke publicaties
Bex, F. J., & Walton, D. N. (2019). Taking the dialectical stance in reasoning with evidence and proof. The International Journal of Evidence and Proof , 23(1-2), 90-99. [DOI] [Repository]
Bijlsma, J., Bex, F. J., & Meynen, G. (2019). Artificiële intelligentie en risicotaxatie. Drie kernvragen voor strafrechtjuristen. Nederlands juristenblad, 2019(44), 3313-3319. Article 2778. https://www.navigator.nl/document/id637f09f4ce8e4f2f95ef941ac7a26086?cpid=WKNL-LTR-Nav2&cip=hybrid [Repository]
Bex, F. J. (2019). The Hybrid Theory of Stories and Arguments applied to the Simonshaven Case. Topics in Cognitive Science, 1-23. [DOI] [Repository]
Odekerken, D., Testerink, B. J. G., & Bex, F. J. (2019). A method for efficient argument-based inquiry. In Flexible Query Answering Systems: 13th International Conference, FQAS 2019, Amantea, Italy, July 2–5, 2019, Proceedings (pp. 114–125). (Lecture Notes in Artificial Intelligence). Springer. [DOI] [Repository]
Testerink, B. J. G., Odekerken, D., & Bex, F. J. (2019). AI-assisted message processing for the Netherlands National Police. In Proceedings of the ICAIL 2019 Workshop on AI and the Administrative State (AIAS 2019) CEUR WS. http://www.florisbex.com/papers/AIAS2019.pdf
Wieten, R., Bex, F., Prakken, H., & Renooij, S. (2019). Constructing Bayesian Network Graphs from Labeled Arguments. In G. Kern-Isberner, & Z. Ognjanović (Eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 15th European Conference, ECSQARU 2019, Belgrade, Serbia, September 18-20, 2019, Proceedings (1 ed., pp. 99-110). (Lecture Notes in Computer Science; Vol. 11726). Springer. [DOI] [Repository]
De Jong, P., Van Der Werf, J. M. E. M., Van Steenbergen, M., Bex, F., & Brinkhuis, M. (2019). Evaluating Design Rationale in Architecture. In 2019 IEEE International Conference on Software Architecture: proceedings, 25-29 March 2019, Hamburg, Germany (pp. 145-152). Article 8712158 IEEE. [DOI] [Repository]
Wieten, G. M., Bex, F. J., Prakken, H., & Renooij, S. (2019). Supporting Discussions About Forensic Bayesian Networks Using Argumentation. In ICAIL '19: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law (pp. 143-152). Association for Computing Machinery. [DOI] [Repository]
Schraagen, M. P., & Bex, F. J. (2019). Extraction of semantic relations in noisy user-generated law enforcement data. In Proceedings of the 13th IEEE International Conference on Semantic Computing (pp. 79-86). IEEE. [DOI] [Repository]
Vakpublicaties
Bex, F. (2019). Artificiële intelligentie in de praktijk: lessen uit onderzoek bij de politie. Rechtstreeks, 2019(2), 26-34. [Repository]
2018
Wetenschappelijke publicaties
Wieten, G. M., Bex, F. J., Prakken, H., & Renooij, S. (2018). Exploiting Causality in Constructing Bayesian Network Graphs from Legal Arguments. In M. Palmirani (Ed.), Legal Knowledge and Information Systems: JURIX 2018: The Thirty-first Annual Conference (pp. 151-160). (Frontiers in Artificial Intelligence and Applications; Vol. 313). IOS Press. [DOI] [Repository]
Schraagen, M. P., Bex, F. J., Odekerken, D., & Testerink, B. J. G. (Accepted/In press). Argumentation-driven information extraction for online crime reports. In International Workshop on Legal Data Analysis and Mining (LeDAM 2018) (CEUR workshop proceedings).
Cerutti, F., Tonolio, A., Norman, T., Bex, F. J., Rahwan, I., & Reed, C. (2018). An OWL2-EL-Compliant AIF Ontology. In S. Modgil, K. Budzynska, & J. Lawrence (Eds.), Computational Models of Argument: Proceedings of COMMA 2018 (pp. 455-456). (Frontiers in Artificial Intelligence and Applications; Vol. 305). IOS Press. [DOI] [Repository]
Tang, A., Bex, F. J., Schriek, C., & van der Werf, J. M. E. M. (2018). Improving Software Design Reasoning: A Reminder Card Approach. Journal of Systems and Software, 144, 22-40. [DOI] [Repository]
Dignum, F. P. M., & Bex, F. J. (2018). Creating Dialogues using Argumentation and Social Practices. In S. Diplaris, A. Satsiou, A. Følstad, M. Vafopoulos, & T. Vilarinho (Eds.), Internet Science: INSCI 2017 International Workshops, IFIN, DATA ECONOMY, DSI, and CONVERSATIONS, Thessaloniki, Greece, November 22, 2017, Revised Selected Papers (pp. 223-235). (Lecture Notes in Computer Science; Vol. 10750). Springer. [DOI] [Repository]
Wieten, G. M., Bex, F. J., van der Gaag, L. C., Prakken, H., & Renooij, S. (2018). Refining a heuristic for constructing Bayesian networks from structured arguments. In B. Verheij, & M. Wiering (Eds.), Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers (1 ed., pp. 32-45). (Communications in Computer and Information Science; Vol. 823). Springer. [DOI] [Repository]
2017
Wetenschappelijke publicaties
Jong, P., Steenbergen, M., van der Werf, J. M. E. M., & Bex, F. (2017). Reasoning on Architecture Design. (Technical Report Series; No. UU-CS-2017-019). UU BETA ICS Departement Informatica. [Repository]
Kos, W., Schraagen, M. P., Brinkhuis, M. J. S., & Bex, F. J. (2017). Classification in a Skewed Online Trade Fraud Complaint Corpus. In B. Verheij, & M. Wiering (Eds.), Preproceedings of the 29th Benelux Conference on Artificial Intelligence November 8–9, 2017 in Groningen, The Netherlands: BNAIC 2017 (pp. 172-183) [Repository]
Schraagen, M. P., Brinkhuis, M. J. S., & Bex, F. J. (2017). Evaluation of Named Entity Recognition in Dutch Online Criminal Complaints. Unpublished. In ICAIL 2017 workshop on Discovery of Electronically Stored Information (DESI VII) [Repository]
Bex, F. J., Grasso, F., Green, N., Paglieri, F., & Reed, C. (Eds.) (2017). Argument Technologies: Theory, Analysis, and Applications. College Publications.
Zee, M. V., Ghanavati , S., & Bex, F. J. (2017). Argumentation-based Methodology for Goal-oriented Requirements Language (GRL). In Proceedings of the 10th International i* Workshop (iStar 2017) CEUR WS. [Repository]
Bex, F. J., & Bench-Capon, T. (2017). Arguing with Stories. In P. Olmos (Ed.), Narration as Argument (pp. 31-45). (Argumentation Library). Springer.
Testerink, B. J. G., & Bex, F. J. (2017). Specifications for peer-to-peer argumentation dialogues. In Proceedings of the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2017): Lecture Notes in AI (Vol. 10621). Springer.
Bex, F. J., van Engers, T., Prakken, H., & Verheij, B. (Eds.) (2017). Special Issue for the Workshop Artificial Intelligence for Justice. Artificial Intelligence and Law, 25(1).
Schraagen, M. P., Brinkhuis, M. J. S., & Bex, F. J. (2017). Evaluation of Named Entity Recognition in Dutch online criminal complaints. Computational Linguistics in the Netherlands Journal, 7, 3-16. https://clinjournal.org/clinj/article/view/65 [Repository]
Bex, F., Prakken, H., van Engers, T., & Verheij, B. (2017). Introduction to the special issue on Artificial Intelligence for Justice (AI4J). Artificial Intelligence and Law, 25(1), 1-3. [DOI] [Repository]
Van Der Werf, J. M. E. M., De Feijter, R., Bex, F., & Brinkkemper, S. (2017). Facilitating collaborative decision making with the software architecture video wall. In Proceedings - 2017 IEEE International Conference on Software Architecture Workshops, ICSAW 2017: Side Track Proceedings (pp. 137-140). IEEE. [DOI]
Overige resultaten
Testerink, B. J. G., & Bex, F. J. (2017). Developing Argumentation Dialogues for Open Multi-Agent Systems. Paper presented at 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2017).
Schraagen, M. P., & Bex, F. J. (2017). Evaluation of named entity recognition in user-submitted police reports. Abstract from CLIN 2017, Leuven, Belgium.
2016
Wetenschappelijke publicaties
Bex, F., Peters, J., & Testerink, B. (2016). AI for online criminal complaints: From natural dialogues to structured scenarios. 22-29. Paper presented at Artificial Intelligence for Justice Workshop (ECAI 2016)
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Hovestad, B., & Bex, F. (2016). Making sense of risks: A hybrid argumentative-narrative approach to risk assessment. (Technical Report Series; No. UU-CS-2016-006). UU BETA ICS Departement Informatica. [Repository]
Bex, F. J. (2016). Het gebruik van verhalen om terroristische aanslagen te voorspellen: Boekbespreking van P.A.M.G. de Kock, Anticipating Criminal Behaviour: Using the narrative in crime-related data. . Tijdschrift voor Criminologie, 58(3), 104-107. [DOI] [Repository]
Bex, F. J., Testerink, B. J. G., & Peters, J. (2016). A.I. for Online Criminal Complaints: From Natural Dialogues to Structured Scenarios. In Proceedings of the ECAI 2016 workshop on Artificial Intelligence for Justice
Bex, F. J., & Hovestad, B. (2016). An Argumentative-Narrative Risk Assessment Model. In Proceedings of European Intelligence and Security Informatics Conference IEEE.
van Zee, M., Marosin, D., Bex, F. J., & Ghanavati , S. (2016). RationalGRL: A Framework for Rationalizing Goal Models Using Argument Diagrams. In Proceedings of the 35th International Conference on Conceptual Modeling
van Zee, M., Marosin, D., Bex, F. J., & Ghanavati, S. (2016). The RationalGRL Toolset for Goal Models and Argument Diagrams. In Computational Models of Argument. Proceedings of COMMA 2016 : Frontiers in Artificial Intelligence and Applications IOS Press.
Schriek, C., Tang, A., van der Werf, J. M. E. M., & Bex, F. J. (2016). Software Architecture Design Reasoning: A Card Game to Help Novice Designers. In Proceedings of the 10th European Conference on Software Architecture
Bex, F. J., & Walton, D. (2016). Explanation and Argumentation in Dialogue. Argument and Computation, 7(1).
Bex, F. J., Grasso, F., & Green, N. (2016). Special Issue for the workshop on Computational Models of Natural Argument. Argument and Computation.
Bex, F. J., & Renooij, S. (2016). From arguments to constraints on a Bayesian network. In P. Baroni, T. F. Gordon, T. Scheffler, & M. Stede (Eds.), Computational Models of Argument (pp. 95-106). (Frontiers in Artificial Intelligence and Applications; Vol. 287). IOS Press. [DOI] [Repository]
Bex, F. J., & Bex-Reimert, V. (2016). Evidence Assessment in Refugee Law with Stories and Arguments: Special issue Methodologies for Research on Legal Argumentation. Informal Logic, 36(3), 349-370. [DOI] [Repository]
Verheij, B., Bex, F. J., Timmer, S. T., Vlek, C. S., Meyer, J. J. C., Renooij, S., & Prakken, H. (2016). Arguments, scenarios and probabilities: connections between three normative frameworks for evidential reasoning. Law, Probability & Risk, 15(1), 35-70. [DOI] [Repository]
Overige resultaten
van der Valk, R., Helms, R. W., van de Wetering, R., Bex, F. J., & Corten, R. (2016). Feeling Safe? Privacy Controls and Online Disclosure Behavior. Paper presented at European Conference on Information Systems, Istanbul, Turkey. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1069&context=ecis2016_rip
Verheij, B., Bex, F. J., Timmer, S. T., Vlek, C. S., Meyer, J. J. C., Renooij, S., & Prakken, H. (2016). Arguments, scenarios and probabilities: connections between three normative frameworks for evidential reasoning. 192-193. Abstract from Benelux Conference on Artificial Intelligence, Amsterdam, Netherlands. http://www.cs.uu.nl/groups/IS/archive/henry/lpr2015.pdf
2015
Wetenschappelijke publicaties
Bex-Reimert, V. M., & Bex, F. (2015). Stories and arguments in refugee law.
Bex, F. J. (2015). An integrated theory of causal scenarios and evidential arguments. In Proceedings of the 15th International Conference on Artificial Intelligence and Law (pp. 13-22). Association for Computing Machinery. [DOI]
van Zee, M., Bex, F. J., & Ghanavati , S. (2015). Rationalization of Goal Models in GRL using Formal Argumentation. In Proceedings of the 23rd IEEE International Requirements Engineering Conference (RE 2015) (pp. 220-225 ). IEEE. [DOI] [Repository]
Bench-Capon, T., & Bex, F. J. (2015). Cases and Stories, Dimensions and Scripts. In Legal Knowledge and Information Systems. JURIX 2015: The Twenty Eight Annual Conference. (pp. 11-20). (Frontiers in Artificial Intelligence and Applications; Vol. 279). IOS Press. [DOI] [Repository]
2014
Wetenschappelijke publicaties
Bosma, P., de Haan, H., van der Veen, A., Bex, F., & de Weerd, H. (2014). The role of communication in cooperative hunting in a partially observable world. In Proceedings of the 23rd Belgian-Dutch conference on machine-learning (Benelearn 2014)
Bex, F., & Bench-Capon, T. (2014). Understanding narratives with argumentation. In Computational Models of Argument. Proceedings of COMMA 2014 (Frontiers in Artificial Intelligence and Applications; Vol. 266).
Bex, F. (2014). Towards an integrated theory of causal scenarios and evidential arguments. In Computational Models of Argument. Proceedings of COMMA 2014 (pp. 133-140). (Frontiers in Artificial Intelligence and Applications; Vol. 266). IOS Press. [DOI]
Bex, F., Lawrence, J., & Reed, C. (2014). Generalising argument dialogue with the dialogue game execution platform. In Computational Models of Argument: proceedings of COMMA 2014 (pp. 141-152). (Frontiers in Artificial Intelligence and Applications; Vol. 266). IOS Press. [DOI]
Bex, F., Atkinson, K., & Bench-Capon, T. (2014). Arguments as a new perspective on character motive in stories. Literary and Linguistic Computing, 29(4), 467-487. [DOI]
Bex, F., Snaith, M., Lawrence, J., & Reed, C. (2014). ArguBlogging: An Application for the Argument Web. Web Semantics: Science, Services and Agents on the World Wide Web, 25, 9-15. [DOI] [Repository]
2013
Wetenschappelijke publicaties
Bex, F., & Verheij, B. (2013). Legal stories and the process of proof. Artificial Intelligence and Law, 21(3), 253-278. [DOI]
Bex, F., Lawrence, J., Snaith, M., & Reed, C. (2013). Implementing the argument web. Communications of the ACM, 56(10), 66-73. [DOI]
2012
Wetenschappelijke publicaties
Bex, F., & Verheij, B. (2012). Solving a Murder Case by Asking Critical Questions: An Approach to Fact-Finding in Terms of Argumentation and Story Schemes. Argumentation, 26(3), 325-353. [DOI]
Bex, F., & Walton, D. (2012). Burdens and standards of proof for inference to the best explanation: Three case studies. Law, Probability & Risk, 11(2-3), 113-133. Article mgs003. [DOI]
Bex, F., & Reed, C. (2012). Dialogue templates for automatic argument processing. In Frontiers in Artificial Intelligence and Applications (1 ed., Vol. 245, pp. 366-377). (Frontiers in Artificial Intelligence and Applications; Vol. 245, No. 1). [DOI]
Lawrence, J., Bex, F., Reed, C., & Snaith, M. (2012). AIFdb: Infrastructure for the argument web. In Frontiers in Artificial Intelligence and Applications (1 ed., Vol. 245, pp. 515-516). (Frontiers in Artificial Intelligence and Applications; Vol. 245, No. 1). [DOI]
Bex, F., Gordon, T., Lawrence, J., & Reed, C. (2012). Interchanging arguments between Carneades and AIF. In Frontiers in Artificial Intelligence and Applications (1 ed., Vol. 245, pp. 390-397). (Frontiers in Artificial Intelligence and Applications; Vol. 245, No. 1). [DOI]
Lawrence, J., Bex, F., & Reed, C. (2012). Dialogues on the argument web: Mixed initiative argumentation with Arvina. In Frontiers in Artificial Intelligence and Applications (1 ed., Vol. 245, pp. 513-514). (Frontiers in Artificial Intelligence and Applications; Vol. 245, No. 1). [DOI]
Snaith, M., Bex, F., Lawrence, J., & Reed, C. (2012). Implementing ArguBlogging. In Frontiers in Artificial Intelligence and Applications (1 ed., Vol. 245, pp. 511-512). (Frontiers in Artificial Intelligence and Applications; Vol. 245, No. 1). [DOI]
Bex, F. J., Modgil, S. J., Prakken, H., & Reed, C. (2012). On logical reifications of the Argument Interchange Format. Journal of Logic and Computation. [DOI]
2010
Wetenschappelijke publicaties
Bex, F. J., Prakken, H., & Reed, C. A. (2010). An analysis of the AIF in terms of the ASPIC framework. In P. Baroni, F. Cerutti, M. Giacomin, & G. R. Simari (Eds.), Computational Models of Argument. Proceedings of COMMA 2010 (pp. 99-110). IOS Press. http://www.cs.uu.nl/groups/IS/archive/henry/comma10-aif.pdf
2008
Wetenschappelijke publicaties
Bex, F. J., & Prakken, H. (2008). Investigating stories in a formal dialogue game. In P. Besnard, S. Doutre, & A. Hunter (Eds.), Computational Models of Argument. Proceedings of {COMMA} 2008 (pp. 73-84). (Frontiers in Artificial Intelligence and Applications; No. 172). IOS Press. http://www.cs.uu.nl/groups/IS/archive/henry/bexprakken08.pdf
2007
Wetenschappelijke publicaties
Bex, F. J., van den Braak, S. W., van Oostendorp, H., Prakken, H., Verheij, B., & Vreeswijk, G. A. W. (2007). Sense-making software for crime investigation: how to combine stories and arguments? Law, Probablity and Risk, 6(1-4), 145-168. http://lpr.oxfordjournals.org/cgi/content/abstract/mgm007?ijkey=NpByaFIpmKYaR4F&keytype=ref
Bex, F. J., Prakken, H., & Verheij, B. (2007). Formalising argumentative story-based analysis of evidence. In Proceedings of the Eleventh International Conference on Artificial Intelligence and Law (pp. 1-10). Association for Computing Machinery.
Overige resultaten
Bex, F. J., van den Braak, S. W., van Oostendorp, H., Prakken, H., Verheij, B., & Vreeswijk, G. A. W. (2007). Sense-making software for crime investigation: how to combine stories and arguments?. 311-312. Abstract from Unknown event, Asilomar, USA. http://people.cs.uu.nl/susanb/publications/BNAIC2007_BexBraakEtAl.pdf
2006
Wetenschappelijke publicaties
Bex, F. J., Prakken, H., & Verheij, B. (2006). Anchored narratives in reasoning about evidence. In T. M. van Engers (Ed.), Legal Knowledge and Information Systems. JURIX 2006: The Nineteenth Annual Conference (pp. 11-20). (Frontiers in Artificial Intelligence and Applications; No. 152). IOS Press. http://www.cs.uu.nl/research/projects/evidence/publications/Jurix2006BexF.pdf
2005
Wetenschappelijke publicaties
Dijkstra, P., Bex, F. J., Prakken, H., & de Vey Mestdagh, C. N. J. (2005). Outline of a multi-agent system for regulated information exchange in crime investigations. In P. E. D. & T.J.M. Bench-Capon (Ed.), Argumentation in Artificial Intelligence and Law (pp. 27-37). Wolf Legal Publishers.
Dijkstra, P., Bex, F. J., Prakken, H., & de Vey Mestdagh, C. N. J. (2005). Towards a multi-agent system for regulated information exchange in crime investigations. Artificial Intelligence and Law, 13.
2004
Wetenschappelijke publicaties
Bex, F. J., & Prakken, H. (2004). Reinterpreting arguments in dialogue: an application to evidential reasoning. In T. F. Gordon (Ed.), Legal Knowledge and Information Systems. JURIX 2004: The Seventeenth Annual Conference (pp. 119-129). IOS Press.
Bex, F. J., Prakken, H., Reed, C., & Walton, D. N. (2004). Towards a formal account of reasoning about evidence: argumentation schemes and generalisations. Artificial Intelligence and Law, 12, 125-165.