Publications
Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit Sheth. On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). Preprint (2024).
Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava. Plan-SOFAI: A Neuro-Symbolic Planning Architecture. NuCLeaR Workshop at AAAI 2024.
Marianna B Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Brent Venable. Value-based Fast and Slow AI Nudging. Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches Workshop at IJCAI 2023.
Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia. Understanding the Capabilities of Large Language Models for Automated Planning. Preprint (2023).
Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava. Fast and Slow Planning. Preprint (2023).
Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli. Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. Proc. of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23) Demonstrations Track.
Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia. Plansformer: Generating symbolic plans using transformers. NeurIPS 2023 Workshop on Generalization in Planning (GenPlan 2023).
Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable. Making Human-Like Moral Decisions. Proc. AIES 2022: 447-454 (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable. Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. Proc. ICLR Neural-Symbolic Learning and Reasoning (NeSy), 2022
Arie Glazier, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Kristen Brent Venable. Learning Behavioral Soft Constraints from Demonstrations, 2022
Francisco Fabiano, Biplav Srivastava, Jon Lenchner, Lior Horesh, Francesca Rossi, Marianna B Ganapini. E-PDDL: A Standardized Way of Defining Epistemic Planning Problems. International Conference on Automated Planning and Scheduling (ICAPS), KEPS 2021
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava. Thinking Fast and Slow in AI. AAAI 2021: 15042-15046
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable. Thinking Fast and Slow in AI: the Role of Metacognition. ACAIN 2022
Francesca Rossi, Andrea Loreggia. Preferences and Ethical Priorities: Thinking Fast and Slow in AI. AAMAS 2019
Francesca Rossi, Nicholas Mattei. Building Ethically Bounded AI. AAAI 2019: 9785-9789
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi. Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. IJCAI 2019: 6377-6381
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable. Preferences and Ethical Principles in Decision Making. AIES 2018: 222