Malaysian Journal of Computer Science (ISSN 0127-9084)
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Article Information
Title:Logic Programming In Neural Networks
Auhtor(s): Wan Ahmad Tajuddin bin Wan Abdullah,
Journal:Malaysian Journal of Computer Science (ISSN 0127-9084)
Volume:9, No 1
Year:1996
Keywords:Hopfield neural network, Higher-order connections, Logic programming, Combinatorial optimisation, Hebbian learning
Abstract:Logic programming is carried out on a neural network. A higher-order Hopfield neural network is used to minimise logical inconsistency in interpretations of logic clauses or programs. The connection strengths are defined from the logic program; the network relaxes to neural states corresponding to a valid (or near-valid) interpretation. 'Creativity' can be thought of as the crossing of configurational energy barriers to arrive at alternative interpretations. The formalism allows the incorporation of non-monotonicity; non-integral degrees of truth in rules; and non-Horn clauses. Hebbian learning in an environment with some underlying logical rules governing events is equivalent to hardwiring the network with these rules.
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