8 citations · 14 across the 5 of their papers we have counts for
6 papers
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments
Marianna B. Ganapini, Murray Campbell, Francesco Fabiano +8
Current AI systems lack several important human capabilities, such as adaptability, generalizability, self-control, consistency, common sense, and causal reasoning. We believe that…
Thinking Fast and Slow in AI: the Role of Metacognition
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano +7
AI systems have seen dramatic advancement in recent years, bringing many applications that pervade our everyday life. However, we are still mostly seeing instances of narrow AI: ma…
Comprehensive Multi-Agent Epistemic Planning
Francesco Fabiano
Over the last few years, the concept of Artificial Intelligence has become central in different tasks concerning both our daily life and several working scenarios. Among these task…
E-PDDL: A Standardized Way of Defining Epistemic Planning Problems
Francesco Fabiano, Biplav Srivastava, Jonathan Lenchner +3
Epistemic Planning (EP) refers to an automated planning setting where the agent reasons in the space of knowledge states and tries to find a plan to reach a desirable state from th…
Modelling Multi-Agent Epistemic Planning in ASP
Alessandro Burigana, Francesco Fabiano, Agostino Dovier +1
Designing agents that reason and act upon the world has always been one of the main objectives of the Artificial Intelligence community. While for planning in "simple" domains the…
Design of a Solver for Multi-Agent Epistemic Planning
Francesco Fabiano
As the interest in Artificial Intelligence continues to grow it is becoming more and more important to investigate formalization and tools that allow us to exploit logic to reason…