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Francesco Fabiano
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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
1132021
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
552018
Plansformer: Generating symbolic plans using transformers
V Pallagani, B Muppasani, K Murugesan, F Rossi, L Horesh, B Srivastava, ...
arXiv preprint arXiv:2212.08681, 2022
482022
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
382020
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
342024
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
282022
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
262023
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
192020
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
142021
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
112023
Fast and slow planning
F Fabiano, V Pallagani, MB Ganapini, L Horesh, A Loreggia, ...
arXiv preprint arXiv:2303.04283, 2023
112023
Non-well-founded set based multi-agent action language
F Fabiano, I Riouak, A Dovier, E Pontelli
CEUR-WS, 2019
112019
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
82022
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
72021
Design of a solver for multi-agent epistemic planning
F Fabiano
arXiv preprint arXiv:1909.08259, 2019
72019
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
42022
An ASP approach for arteries classification in CT scans
F Fabiano, A Dal Palù
Journal of Logic and Computation 32 (2), 331-346, 2022
42022
Towards a Complete Characterization of Epistemic Reasoning: the Notion of Trust.
F Fabiano
CILC, 21-35, 2020
32020
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
22023
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
22023
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