Relational Learning in Neural Networks

Abstract

Neural networks have been very successful as robust, massively parallel learning systems [125]. On the other hand, they have been severely criticised as being essentially propositional. In [176], John McCarthy argued that neural networks use unary predicates only, and that the concepts they compute are ground instances of these predicates. Thus, he claimed, neural networks could not produce concept descriptions, only discriminations.