Revisiting direct neuralisation of first-order logic

Conference paper

Gunn, I. and Windridge, D. 2018. Revisiting direct neuralisation of first-order logic. NeSy 2018 : Thirteenth International Workshop on Neural-Symbolic Learning and Reasoning. Prague, Czech Republic 23 - 24 Aug 2018
TypeConference paper
TitleRevisiting direct neuralisation of first-order logic
AuthorsGunn, I. and Windridge, D.
Abstract

There is a long history of direct translation of propositional Horn-clause logic programs into neural networks. The possibility of translating first-order logical syntax in the same way has been largely overlooked, perhaps due to a “propositional fixation” fixation! We briefly revise the possibility and advantage of translating existentially and universally quantified clauses into
a neural form that follows the first-order syntax in a natural way

ConferenceNeSy 2018 : Thirteenth International Workshop on Neural-Symbolic Learning and Reasoning
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Deposited11 Nov 2019
Accepted20 Jul 2018
Output statusPublished
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