Baldwin-effect | Hinton and Nowlan 's experiment on Baldwin effect

Baldwin-effect is a Java library. Baldwin-effect has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Baldwin-effect build file is not available. You can download it from GitHub.

Code to run Hinton and Nowlan's experiment on the Baldwin effect from the paper "How learning can guide evolution", Complex Systems, 1987. To use it, run:. where "numberOfSamples" is the number of individuals in the population, "lenghtOfGenome" is the length of the genome (number of alleles) "numberOfNonLearningAlleles" is the number of alleles with value 0 or 1 that will be initialized randomly in each individual. The remaining alleles will be set to "?", i.e. the "learning" alleles. Each individual runs "numberOfSamples" learning attempts before potentially reproducing. The individual's reproductive fitness is 1+19n/1000 when finding the correct neural net setup with n attemps left, 1 otherwise. The correct neural net setup corresponds to a genome where all values are 1. Mating occurs by recombining two individuals that are chosen (with replacement) with probability proportional to their fitness. Recombination occurs at one uniformly chosen position along the genome. There is no mutation. Simulation ends when all alleles drift to fixation. The output shows the current generation and the fraction of 0's, 1's and ?'s in the population. Running. should give you results that are similar to Figure 2 of the original paper.