Artificial development of connections in SHRUTI networks using a multi objective genetic algorithm

Authors:
Joe Townsend;Ed Keedwell;Antony Galton
Affiliations:
University of Exeter, Exeter, United Kingdom;University of Exeter, Exeter, United Kingdom;University of Exeter, Exeter, United Kingdom
Venue:
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Year:
2013

Citing 3
Cited 0

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A fast and elitist multiobjective genetic algorithm: NSGA-II

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Abstract

SHRUTI is a model of how first-order logic can be represented and reasoned upon using a network of spiking neurons in an attempt to model the brain's ability to perform reasoning. This paper extends the biological plausibility of the SHRUTI model by presenting a genotype representation of connections in a SHRUTI network using indirect encoding and showing that networks represented in this way can be generated by an evolutionary process.