C# 클래스 social_learning.SocialExperiment

Create and return a NeatEvolutionAlgorithm object ready for running the NEAT algorithm/search. Various sub-parts of the algorithm are also constructed and connected up. This overload requires no parameters and uses the default population size.

Create and return a NeatEvolutionAlgorithm object ready for running the NEAT algorithm/search. Various sub-parts of the algorithm are also constructed and connected up. This overload accepts a pre-built genome2 population and their associated/parent genome2 factory.

Create and return a NeatEvolutionAlgorithm object ready for running the NEAT algorithm/search. Various sub-parts of the algorithm are also constructed and connected up. This overload accepts a population size parameter that specifies how many genomes to create in an initial randomly generated population.

Creates a new genome decoder that can be used to convert a genome into a phenome.

Create a genome factory for the experiment. Create a genome factory with our neat genome parameters object and the appropriate number of input and output neuron genes.

Initialize the experiment with some optional XML configutation data.

Load a population of genomes from an XmlReader and returns the genomes in a new list. The genome factory for the genomes can be obtained from any one of the genomes.

Save a population of genomes to an XmlWriter.