Contents
What do you need to know about neuroevolution?
Neuroevolution is an agnostic process that, while requiring parameters for its own evolutionary process, does not stipulate any specific topology or hyperparameters for the generated neural networks. Instead ANNs are developed through feedback on what effectively works well on the problem environment.
Which is the open source framework for neuroevolution?
The next two parts will present a deep dive into the open source landscape surrounding neuroevolution, paying special attention to the design and usage of the Tensorflow-Neuroevolution framework [1] I created together with Rezsa Farahani during the Google Summer of Code 2019.
How is speciation used in generational neuroevolution?
Speciation is a tool of generational neuroevolution that clusters the individuals of the population according to apparent features like topological similarities in the phenotype or more covert features like reaching certain states in the applied problem environment.
How is neuroevolution a form of artificial intelligence?
Form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks. Neuroevolution, or neuro-evolution, is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, topology and rules.
What is the difference between neuroevolution and Neural Darwinism?
Not to be confused with Evolution of nervous systems, Neural development, or Neural Darwinism. Neuroevolution, or neuro-evolution, is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, topology and rules.
Which is a benefit of neuroevolution over supervised learning?
The main benefit is that neuroevolution can be applied more widely than supervised learning algorithms, which require a syllabus of correct input-output pairs. In contrast, neuroevolution requires only a measure of a network’s performance at a task.