3 citations · 8 across the 11 of their papers we have counts for
3 papers · 1 filter
The RAIL Principles for Neurosymbolic AI: Reasoning, Assurances, Interfacing and Learning
Agnese Chiatti, Michael Cochez, Cristina Cornelio +14
Neurosymbolic AI systems that integrate machine learning and symbolic reasoning are rapidly gaining attention. They complement the data-intensive statistical approaches of neural n…
Mutual Understanding between People and Systems via Neurosymbolic AI and Knowledge Graphs
Irene Celino, Mario Scrocca, Agnese Chiatti
This chapter investigates the concept of mutual understanding between humans and systems, positing that Neuro-symbolic Artificial Intelligence (NeSy AI) methods can significantly e…
Commonsense Spatial Reasoning for Visually Intelligent Agents
Agnese Chiatti, Gianluca Bardaro, Enrico Motta +1
Service robots are expected to reliably make sense of complex, fast-changing environments. From a cognitive standpoint, they need the appropriate reasoning capabilities and backgro…