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cs.AI2025
Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations
Laura Spillner, Nima Zargham, Mihai Pomarlan +2
The need for explanations in AI has, by and large, been driven by the desire to increase the transparency of black-box machine learning models. However, such explanations, which fo…
cs.AI2023
Formalising Natural Language Quantifiers for Human-Robot Interactions
Stefan Morar, Adrian Groza, Mihai Pomarlan
We present a method for formalising quantifiers in natural language in the context of human-robot interactions. The solution is based on first-order logic extended with capabilitie…