| Thinking fast and slow in AI G Booch, F Fabiano, L Horesh, K Kate, J Lenchner, N Linck, A Loreggia, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15042 …, 2021 | 174 | 2021 |
| On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps) V Pallagani, BC Muppasani, K Roy, F Fabiano, A Loreggia, K Murugesan, ... Proceedings of the International Conference on Automated Planning and …, 2024 | 102 | 2024 |
| Plansformer: Generating symbolic plans using transformers V Pallagani, B Muppasani, K Murugesan, F Rossi, L Horesh, B Srivastava, ... arXiv preprint arXiv:2212.08681, 2022 | 71 | 2022 |
| EFP and PG-EFP: epistemic forward search planners in multi-agent domains T Le, F Fabiano, T Son, E Pontelli Proceedings of the International Conference on Automated Planning and …, 2018 | 60 | 2018 |
| Thinking fast and slow in AI: The role of metacognition MB Ganapini, M Campbell, F Fabiano, L Horesh, J Lenchner, A Loreggia, ... International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 43 | 2022 |
| EFP 2.0: A multi-agent epistemic solver with multiple e-state representations F Fabiano, A Burigana, A Dovier, E Pontelli Proceedings of the International Conference on Automated Planning and …, 2020 | 43 | 2020 |
| Understanding the capabilities of large language models for automated planning V Pallagani, B Muppasani, K Murugesan, F Rossi, B Srivastava, L Horesh, ... arXiv preprint arXiv:2305.16151, 2023 | 40 | 2023 |
| Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. V Pallagani, B Muppasani, B Srivastava, F Rossi, L Horesh, K Murugesan, ... IJCAI, 7158-7162, 2023 | 27 | 2023 |
| Modelling multi-agent epistemic planning in ASP A Burigana, F Fabiano, A Dovier, E Pontelli Theory and Practice of Logic Programming 20 (5), 593-608, 2020 | 20 | 2020 |
| Multi-agent epistemic planning with inconsistent beliefs, trust and lies F Fabiano, A Burigana, A Dovier, E Pontelli, TC Son Pacific Rim International Conference on Artificial Intelligence, 586-597, 2021 | 15 | 2021 |
| Fast and slow planning F Fabiano, V Pallagani, MB Ganapini, L Horesh, A Loreggia, ... arXiv preprint arXiv:2303.04283, 2023 | 13 | 2023 |
| Combining fast and slow thinking for human-like and efficient navigation in constrained environments MB Ganapini, M Campbell, F Fabiano, L Horesh, J Lenchner, A Loreggia, ... arXiv preprint arXiv:2201.07050, 2022 | 13 | 2022 |
| Non-well-founded set based multi-agent action language F Fabiano, I Riouak, A Dovier, E Pontelli CEUR-WS, 2019 | 12 | 2019 |
| E-PDDL: A standardized way of defining epistemic planning problems F Fabiano, B Srivastava, J Lenchner, L Horesh, F Rossi, MB Ganapini arXiv preprint arXiv:2107.08739, 2021 | 10 | 2021 |
| Plan-SOFAI: A neuro-symbolic planning architecture F Fabiano, V Pallagani, MB Ganapini, L Horesh, A Loreggia, ... Neuro-Symbolic Learning and Reasoning in the era of Large Language Models, 2023 | 7 | 2023 |
| Design of a solver for multi-agent epistemic planning F Fabiano arXiv preprint arXiv:1909.08259, 2019 | 7 | 2019 |
| Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments. MB Ganapini, M Campbell, F Fabiano, L Horesh, J Lenchner, A Loreggia, ... NeSy, 171-185, 2022 | 5 | 2022 |
| Thinking fast and slow in human and machine intelligence F Fabiano, MB Ganapini, A Loreggia, N Mattei, K Murugesan, V Pallagani, ... Communications of the ACM 68 (8), 72-79, 2025 | 4 | 2025 |
| Value-based fast and slow ai nudging MB Ganapini, F Fabiano, L Horesh, A Loreggia, N Mattei, K Murugesan, ... arXiv preprint arXiv:2307.07628, 2023 | 4 | 2023 |
| An ASP approach for arteries classification in CT scans F Fabiano, A Dal Palù Journal of Logic and Computation 32 (2), 331-346, 2022 | 4 | 2022 |
Biplav SrivastavaUniversity of South CarolinaVerified email at sc.edu
