neuroevolution Type post Author Roman V. Yampolskiy Date July 18, 2020 CategoriesEvolutionNeuroscience & Mind Tagged , artificial general intelligence, computer science, computer simulations, deep learning, evolution, evolutionary algorithms, genetic algorithms, genetic programming, John Koza, Neural Networks, neuroevolution, software, software engineering Neuroevolution Methods Show Significant Success Roman V. Yampolskiy July 18, 2020 Evolution, Neuroscience & Mind 11 The Darwinian algorithm works in theory, but does not work in practice, when applied in the domain of software production. Read More ›
Evolutionary Computation 2 Type post Author Roman V. Yampolskiy Date July 15, 2020 CategoriesEvolution Tagged , algorithms, computers, evolutionary computation, genetic algorithms, genetic programming, John Koza, Moore’s law, natural selection, neuroevolution, Sudoku On Evolutionary Computation Roman V. Yampolskiy July 15, 2020 Evolution 9 From the early 1950s, multiple well-documented attempts to make Darwin’s algorithm work on a computer have been published. Read More ›
software Type post Date January 3, 2019 CategoriesEvolutionIntelligent Design Tagged , __k-review, artificial general intelligence, artificial intelligence, biologists, Charles Darwin, common descent, complexity, computer scientists, Darwinian evolution, dependency graph, engines, evolutionary algorithms, genetic programming, human intelligence, intelligent design, Michael Behe, natural selection, neuroevolution, simulations, Singularity, Stephen Meyer, Winston Ewert Why We Don’t Evolve Software: A Computer Scientist Considers Darwinian Theory Science and Culture January 3, 2019 Evolution, Intelligent Design 6 Software engineers are trained in design principles, and also have real experience of how complex functional systems appear and change constructively. Read More ›
