| dc.contributor.author | Townsend, J | |
| dc.contributor.author | Keedwell, EC | |
| dc.contributor.author | Galton, A | |
| dc.date.accessioned | 2016-03-31T08:25:00Z | |
| dc.date.issued | 2013-07-10 | |
| dc.description.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. | en_GB |
| dc.identifier.citation | GECCO '13 Companion Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, pp.111-112 | en_GB |
| dc.identifier.doi | 10.1145/2464576.2464630 | |
| dc.identifier.uri | http://hdl.handle.net/10871/20883 | |
| dc.language.iso | en | en_GB |
| dc.publisher | Association for Computing Machinery (ACM) | en_GB |
| dc.relation.url | http://dl.acm.org/citation.cfm?id=2464630&CFID=766406279&CFTOKEN=71690446 | en_GB |
| dc.rights | This is the final version of the article. Available from ACM via the DOI in this record. | en_GB |
| dc.title | Artificial development of connections in SHRUTI networks using a multi-objective genetic algorithm | en_GB |
| dc.type | Conference paper | en_GB |
| dc.date.available | 2016-03-31T08:25:00Z | |
| dc.identifier.isbn | 9781450319638 | |
