Artificial development of connections in SHRUTI networks using a multi-objective genetic algorithm
Townsend, J; Keedwell, EC; Galton, A
Date: 10 July 2013
Conference paper
Publisher
Association for Computing Machinery (ACM)
Publisher DOI
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 ...
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.
Computer Science
Faculty of Environment, Science and Economy
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