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 ›
winter Type post Author Roman V. Yampolskiy Date July 16, 2020 CategoriesEvolution Tagged , algorithms, artificial intelligence, computers, evolutionary algorithms, evolutionary computation, generations, genetic programming, John Koza, Kolmogorov complexity, programmers, software, Turing Machine, Turing test The State of the Art in Evolutionary Computation Roman V. Yampolskiy July 16, 2020 Evolution 11 As with early AI, the claims are inflated, unsupported, and the solutions do not scale to real world problems. Perhaps an EA “winter” is long overdue. 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 ›
