Artificial development of connections in SHRUTI networks using a multi-objective genetic algorithm
Association for Computing Machinery (ACM)
This is the final version of the article. Available from ACM via the DOI in this record.
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.
GECCO '13 Companion Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, pp.111-112