Dr. D. (Davide) Dell'Anna

Minnaertgebouw
Leuvenlaan 4
Kamer 3.07
3584 CE Utrecht

Dr. D. (Davide) Dell'Anna

Assistant Professor
Responsible AI
d.dellanna@uu.nl

Publications

2024

Scholarly publications

Dudzik, B. J. W., van der Waa, J. S., Chen, P. Y., Dobbe, R., de Troya, Í. M. D. R., Bakker, R. M., de Boer, M. H. T., Smit, Q. T. S., Dell’Anna, D., Erdogan, E., Yolum, P., Wang, S., Santamaría, S. B., Krause, L., & Kamphorst, B. A. (2024). Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management. Journal of Artificial Intelligence Research, 80, 919-929. https://doi.org/10.1613/jair.1.15916
Dell’Anna, D., & Jamshidnejad, A. (2024). SONAR: An Adaptive Control Architecture for Social Norm Aware Robots. International Journal of Social Robotics. Advance online publication. https://doi.org/10.1007/s12369-024-01172-8
Abualhaija, S., Arora, C., Dell’Anna, D., Ferrari, A., & Ghanavati, S. (2024). Preface: 7th Workshop on Natural Language Processing for Requirements Engineering (NLP4RE’24). In CEUR Workshop Proceedings (Vol. 3672). (CEUR Workshop Proceedings). CEUR WS. https://ceur-ws.org/Vol-3672/
Dell'Anna, D., Murukannaiah, P. K., Dudzik, B., Grossi, D., Jonker, C. M., Oertel, C., & Yolum, P. (2024). Toward a Quality Model for Hybrid Intelligence Teams. In AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (Vol. 2024-May, pp. 434-443). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS). Association for Computing Machinery . https://doi.org/10.5555/3635637.3662893
Abualhaija, S., Aydemir, F. B., Dalpiaz, F., Dell’anna, D., Ferrari, A., Franch, X., & Fucci, D. (2024). Replication in Requirements Engineering: the NLP for RE Case. ACM Transactions on Software Engineering and Methodology, 33(6), Article 151. https://doi.org/10.1145/3658669

2023

Scholarly publications

Dell'Anna, D., Alechina, N., Dalpiaz, F., Dastani, M., & Logan, B. (2023). Data-Driven Revision of Conditional Norms in Multi-Agent Systems (Extended Abstract). In E. Elkind (Ed.), Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 (pp. 6868-6872). (IJCAI International Joint Conference on Artificial Intelligence). IJCAI Organization. https://doi.org/10.24963/ijcai.2023/773
de Mooij, J., Bhattacharya, P., Dell’Anna, D., Dastani, M., Logan, B., & Swarup, S. (2023). A framework for modeling human behavior in large-scale agent-based epidemic simulations. Simulation, 99(12), 1183-1211. https://doi.org/10.1177/00375497231184898
https://dspace.library.uu.nl/bitstream/handle/1874/434258/de-mooij-et-al-2023-a-framework-for-modeling-human-behavior-in-large-scale-agent-based-epidemic-simulations.pdf?sequence=1
Dell'Anna, D., Aydemir, F. B., & Dalpiaz, F. (2023). Evaluating Classifiers in SE Research: The ECSER Pipeline and Two Replication Studies. Empirical Software Engineering, 28(1), 1-40. Article 3. https://doi.org/10.1007/s10664-022-10243-1

2022

Scholarly publications

Dell'Anna, D., Alechina, N., Dalpiaz, F., Dastani, M., & Logan, B. (2022). Data-Driven Revision of Conditional Norms in Multi-Agent Systems. Journal of Artificial Intelligence Research, 75, 1549-1593. https://doi.org/10.1613/JAIR.1.13683
Bhattacharya, P., de Mooij, A. J., Dell’Anna, D., Dastani, M., Logan, B., & Swarup, S. (2022). PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents. In N. Alechina, M. Baldoni, & B. Logan (Eds.), Engineering Multi-Agent Systems - 9th International Workshop, EMAS 2021, Revised Selected Papers (pp. 1-21). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13190 LNAI). Springer. https://doi.org/10.1007/978-3-030-97457-2_1
Dalpiaz, F., Dell'Anna, D., Kopczyńska, S., & Montgomery, L. (2022). 5th Workshop on Natural Language Processing for Requirements Engineering (NLP4RE). CEUR Workshop Proceedings, 3122. https://ceur-ws.org/Vol-3122/
Dell'Anna, D., & Jamshidnejad, A. (2022). Evolving Fuzzy logic Systems for creative personalized Socially Assistive Robots. Engineering Applications of Artificial Intelligence, 114, 1-14. Article 105064. https://doi.org/10.1016/j.engappai.2022.105064
de Mooij, J., Dell’Anna, D., Bhattacharya, P., Dastani, M., Logan, B., & Swarup, S. (2022). Using Agent-Based Simulation to Investigate Behavioral Interventions in a Pandemic Simulating Behavioral Interventions in a Pandemic. CEUR Workshop Proceedings, 3182. https://ceur-ws.org/Vol-3182
Dell'Anna, D., Alechina, N., Dalpiaz, F., Dastani, M., Löffler, M., & Logan, B. (2022). The Complexity of Norm Synthesis and Revision. In N. Ajmeri, A. M. 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. 38-53). (Lecture Notes in Computer Science ; Vol. 13549). Springer. https://doi.org/10.1007/978-3-031-20845-4_3
https://dspace.library.uu.nl/bitstream/handle/1874/425291/978_3_031_20845_4_3.pdf?sequence=1
de Mooij, J., Dell'anna, D., Bhattacharya, P., Dastani, M., Logan, B., & Swarup, S. (2022). Quantifying the Effects of Norms on COVID-19 Cases Using an Agent-Based Simulation. In K. H. Van Dam, & N. Verstaevel (Eds.), Multi-Agent-Based Simulation XXII. MABS 2021. (pp. 99-112). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13128 LNAI). Springer. https://doi.org/10.1007/978-3-030-94548-0_8

2021

Scholarly publications

Dell'Anna, D., Alechina, N., Logan, B., Löffler, M., Dalpiaz, F., & Dastani, M. (2021). The complexity of data-driven norm synthesis and revision. arXiv. https://doi.org/10.48550/arxiv.2112.02626
Bhattacharya, P., de Mooij, J., Dell'anna, D., Dastani, M., Logan, B., & Swarup, S. (2021). PanSim+ Sim-2APL: A framework for large-scale distributed simulation with complex agents. https://parantapa.net/mypapers/bhattacharya-emas21.pdf
DELL'ANNA, DAVIDE. (2021). Data-Driven Supervision of Autonomous Systems. [Doctoral thesis 1 (Research UU / Graduation UU), Universiteit Utrecht]. Utrecht University. https://doi.org/10.33540/589

2020

Scholarly publications

Dell’Anna, D., Dastani, M., & Dalpiaz, F. (2020). Runtime revision of sanctions in normative multi-agent systems. Autonomous Agents and Multi-Agent Systems, 34(2), Article 43. https://doi.org/10.1007/s10458-020-09465-8

2019

Scholarly publications

Dalpiaz, F., Dell'Anna, D., Aydemir, F. B., & Çevikol, S. (2019). Requirements Classification with Interpretable Machine Learning and Dependency Parsing. In Proceedings of the 27th IEEE International Requirements Engineering Conference (RE'19) IEEE. https://doi.org/10.1109/RE.2019.00025
Dell'Anna, D., Dastani, M., & Dalpiaz, F. (2019). Runtime revision of norms and sanctions based on agent preferences. In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems: (AAMAS 2019) (Vol. 3, pp. 1609-1617). International Foundation for Autonomous Agents and Multiagent Systems. https://doi.org/10.5555/3306127.3331881
Dell'Anna, D., Dalpiaz, F., & Dastani, M. (2019). Requirements-driven evolution of sociotechnical systems via probabilistic reasoning and hill climbing. Automated Software Engineering, 26, 513–557. https://doi.org/10.1007/s10515-019-00255-5

2018

Scholarly publications

Dell’Anna, D., Dastani, M., & Dalpiaz, F. (2018). Runtime Norm Revision Using Bayesian Networks. In PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, 2018, Proceedings (pp. 279-295). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11224 LNAI). Springer. https://doi.org/10.1007/978-3-030-03098-8_17
Dell'Anna, D. (2018). Requirements-driven supervision of socio-technical systems. In Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). (CEUR Workshop Proceedings). CEUR WS.
https://dspace.library.uu.nl/bitstream/handle/1874/374289/dellanna.pdf?sequence=1
Dell'Anna, D., Dalpiaz, F., & Dastani, M. (2018). Validating Goal Models via Bayesian Networks. In Proceedings of the International Workshop on Artificial Intelligence for Requirements Engineering (AIRE'18) https://doi.org/10.1109/AIRE.2018.00012
Aringhieri, R., Dell’Anna, D., Duma, D., & Sonnessa, M. (2018). Evaluating the dispatching policies for a regional network of emergency departments exploiting health care big data. In Machine Learning, Optimization, and Big Data - Third International Conference, MOD 2017, Revised Selected Papers (Vol. 10710 LNCS, pp. 549-561). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10710 LNCS). Springer. https://doi.org/10.1007/978-3-319-72926-8_46

2016

Scholarly publications

Dell'Anna, D. (2016). Numerical and temporal planning for a multi-agent team acting in the real world. In Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Robotics (AIRO@AI*IA) (Vol. 1834, pp. 10-14). (CEUR Workshop Proceedings). CEUR WS.