FAIR-PE01-SP08

Info	Partners	Publications	Talks	Acknowledgement

Integrating JaCa-Unity in VEsNA for Behavioural Realistic VR Simulations (EUMAS 2025) — Daniela Briola, Giuseppe Vizzari, Giuseppe Mirra, Andrea Gatti, Viviana Mascardi
FieldVMC: an asynchronous model and platform for self-organising morphogenesis of artificial structures (Complex & Intelligent Systems) — Angela Cortecchia, Giovanni Ciatto, Roberto Casadei, Danilo Pianini
Intelligent Agents from Symbolic to Neurosymbolic Systems: The Quest for Integration (The Agents Journey) — Andrea Agiollo, Roberta Calegari, Giovanni Ciatto, Matteo Magnini, Andrea Omicini, Federico Sabbatini
Agency and Generation: Friends or Enemies? (EUMAS 2025) — Angelo Ferrando, Daniela Briola, Rem W. Collier, Viviana Mascardi
AI Infrastructure: From Gigastructure to Edge Intelligence with Multi-Agent Systems (The Agents Journey) — Andrea Omicini, Alessandro Ricci, Viviana Mascardi
Testing BDI-based multi-agent systems using discrete event simulation (Autonomous Agents and Multi-Agent Systems) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini
AI-fairness: the FAIRBRIDGE approach to practically bridge the gap between socio-legal and technical perspectives (HICSS-58) — Giovanni Ciatto, Mattia Matteini, Laura Sartori, Maria Rebrean, Catelijne Muller, Andrea Borghesi, Roberta Calegari
Large language models as oracles for instantiating ontologies with domain-specific knowledge (Knowledge-Based Systems) — Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini
ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (AIxIA 2024) — Federico Sabbatini, Roberta Calegari
A Domain-Specific Language for NeSy Focussing on Symbolic Knowledge Injection (ANSyA 2025 @ ECAI-2025) — Mattia Matteini, Giovanni Ciatto, Matteo Magnini, Emre Kuru, Reyhan Aydoğan, Andrea Omicini
Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (AIxIA 2024) — Federico Sabbatini, Roberta Calegari
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (ACM Computing Surveys) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers (Autonomous Agents and Multi-Agent Systems) — Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini
Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method (IJCAI 2024) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes (AEQUITAS 2024) — Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele Lombardi
Concurrency Model of BDI Programming Frameworks: Why Should We Control It? (AAMAS 2024) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini, Alessandro Ricci, Andrea Omicini
On the External Concurrency of Current BDI Frameworks for MAS (EMAS 2024 @ AAMAS 2024) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini, Alessandro Ricci, Andrea Omicini
An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation (WOA 2024) — Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
Blending BDI agents with object-oriented and functional programming with JaKtA (SN Computer Science) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini
A geometric framework for fairness (paper in proceedings) — Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano
Measuring Trustworthiness in Neuro-Symbolic Integration (FedCSIS 2023) — Andrea Agiollo, Andrea Omicini
Peer-Reviewed Federated Learning (WOA 2023) — Mattia Passeri, Andrea Agiollo, Andrea Omicini
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System (paper in proceedings) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano