most citedSymbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review

31 citations · 31 across the 1 of their papers we have counts for

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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…