Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation. - Andrea Rafanelli; Stefania Costantini; Andrea Omicini (DP@AI*IA, 2022)

Towards quality-of-service metrics for symbolic knowledge injection. - Andrea Agiollo; Andrea Rafanelli; Andrea Omicini (WOA, 2022)

A multi-agent-system framework for flooding events. - Andrea Rafanelli; Stefania Costantini; Giovanni De Gasperis (WOA, 2022)

Experimenting an Approach to Neuro-Symbolic RL. - Andrea Rafanelli; Stefania Costantini; Giovanni De Gasperis (IPS-RCRA-SPIRIT@AI*IA, 2023)

Empathy-Aware Behavior Trees for Social Care Decision Systems. - Pierangelo Dell'Acqua; Stefania Costantini; Abeer Dyoub; Giovanni De Gasperis; Andrea Monaldini; Andrea Rafanelli (CENTERIS/ProjMAN/HCist, 2023)

Beyond Traditional Neural Networks: Toward adding Reasoning and Learning Capabilities through Computational Logic Techniques. - Andrea Rafanelli (ICLP, 2023)

Neural-logic multi-agent system for flood event detection. - Andrea Rafanelli; Stefania Costantini; Giovanni De Gasperis (Intelligenza Artificiale, 2023)

Symbolic knowledge injection meets intelligent agents: QoS metrics and experiments. - Andrea Agiollo; Andrea Rafanelli; Matteo Magnini; Giovanni Ciatto; Andrea Omicini (Auton. Agents Multi Agent Syst., 2023)

Extension of constraint-procedural logic-generated environments for deep Q-learning agent training and benchmarking. - Giovanni De Gasperis; Stefania Costantini; Andrea Rafanelli; Patrizio Migliarini; Ivan Letteri; Abeer Dyoub (J. Log. Comput., 2023)

NEMO - A Neural, Emotional Architecture for Human-AI Teaming. - Stefania Costantini; Pierangelo Dell'Acqua; Giovanni De Gasperis; Francesco Gullo; Andrea Rafanelli (CILC, 2024)

The NEMO co-pilot. - Stefania Costantini; Pierangelo Dell'Acqua; Giovanni De Gasperis; Francesco Gullo; Andrea Rafanelli (Ital-IA, 2024)

Leveraging DALI to Refine Route Planning by Dynamically Avoiding Risky POIs. - Fabio Persia; Mouzhi Ge; Giovanni Pilato; Daniela D'Auria; Andrea Rafanelli; Stefania Costantini; Giovanni De Gasperis (ICSC, 2024)

An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation. - Andrea Rafanelli; Matteo Magnini; Andrea Agiollo; Giovanni Ciatto; Andrea Omicini (WOA, 2024)