From Statistical Relational to Neuro-Symbolic Artificial Intelligence

Giuseppe Marra; Luc De Raedt; Robin Manhaeve; Sebastijan Duman\v{c}i\'c

From Statistical Relational to Neuro-Symbolic Artificial Intelligence

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arxiv 2003.08316 v2 pith:OFLVG2HE submitted 2020-03-18 cs.AI

Luc De Raedt , Sebastijan Dumančić , Robin Manhaeve , Giuseppe Marra This is my paper

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keywords artificialintelligenceneuro-symbolicrelationalstatisticalacrossapproachescannot

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Neuro-symbolic and statistical relational artificial intelligence both integrate frameworks for learning with logical reasoning. This survey identifies several parallels across seven different dimensions between these two fields. These cannot only be used to characterize and position neuro-symbolic artificial intelligence approaches but also to identify a number of directions for further research.

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Taxonomic Networks: A Representation for Neuro-Symbolic Pairing
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A Cobweb-style symbolic concept learner and a neural soft decision tree are presented as interchangeable 'neuro-symbolic pairs' over taxonomic networks, with complementary data and compute tradeoffs.

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