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.
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
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abstract
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
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.