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cs.AI2025
Integrating Machine Learning into Belief-Desire-Intention Agents: Current Advances and Open Challenges
Andrea Agiollo, Andrea Omicini
Thanks to the remarkable human-like capabilities of machine learning (ML) models in perceptual and cognitive tasks, frameworks integrating ML within rational agent architectures ar…
cs.AI2025★ 31 cited
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo +2
In this paper we focus on the opacity issue of sub-symbolic machine learning predictors by promoting two complementary activities, namely, symbolic knowledge extraction (SKE) and i…