Dr. D. (Davide) Dell'Anna

Minnaertgebouw
Leuvenlaan 4
Kamer 3.10
3584 CE Utrecht

Dr. D. (Davide) Dell'Anna

Assistant Professor
Responsible AI
d.dellanna@uu.nl

Publications

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 Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 (pp. 6868-6872)
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
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 Science and Business Media Deutschland GmbH. 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
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

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). Reasoning about Norms Revision. Manuscript submitted for publication. http://arxiv.org/abs/1810.10591
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 Workshop Proceedings.
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 Workshop Proceedings.