The inherent instability of memetic systems:Use of a genetic algorithm to solve a parameter optimisation problem in a memetic simulation

Gatherer, Derek (2004) The inherent instability of memetic systems:Use of a genetic algorithm to solve a parameter optimisation problem in a memetic simulation. Journal of Memetics, 8 (2). ISSN 1366-4786

Full text not available from this repository.

Abstract

'Memetic isolation' is a situation in which a society or culture exhibits a cultural trait not found in any neighbouring cultures (Gatherer 2002b). A previously developed simulation, consisting of a grid of connected societies of cultural agents, is further analysed to define the circumstances under which memetic isolation is maximised and minimized. Parameters varied include migration, and cultural interaction within and between societies. Some stereotypical societies are simulated, and the differences in outcomes are analysed statistically. A genetic algorithm is then used to discover the combinations of parameters that produce extreme results. Minimization of memetic isolation appears to be simply a matter of cultural or natural selection on the meme concerned. By contrast, maximization of memetic isolation requires an intuitively unlikely combination of low cultural interaction, high migration and no selection. The classic memetic theoretical result, that horizontally transmitted memes tend to be more spatially clustered than vertically transmitted memes or genes, is shown to depend on the existence of cultural bridges, or 'weak ties', between societies and also to be at the mercy of migration rates and selective forces.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Memetics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1702
Subjects:
?? ALLOMEMECONTAGIONCULTURAL EVOLUTIONCULTURAL SELECTIONCULTURAL TRAITEVOLUTIONARY EPIDEMIOLOGY OF CULTUREGENETIC ALGORITHMGLOBALISATIONMEMEECOLOGY, EVOLUTION, BEHAVIOR AND SYSTEMATICSANTHROPOLOGYPHILOSOPHYARTIFICIAL INTELLIGENCE ??
ID Code:
134432
Deposited By:
Deposited On:
22 Jun 2019 08:52
Refereed?:
Yes
Published?:
Published
Last Modified:
17 Sep 2023 02:26