Tag: genetic algorithms

^{Type
post

Author
Roman V. Yampolskiy

Date
July 18, 2020

Categories
Evolution
Neuroscience & 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 ›

^{Type
post

Author
Roman V. Yampolskiy

Date
July 15, 2020

Categories
Evolution
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 ›

^{Type
post

Author
Roman V. Yampolskiy

Date
July 14, 2020

Categories
Evolution
Tagged
, algorithms, artificial life, Charles Darwin, computer science, Darwinian algorithm, evolution, genetic algorithms, genetic programming, Gregory Chaitin, sex}

What Can and Can’t Darwin’s Algorithm Compute?

_{Roman V. Yampolskiy
July 14, 2020

Evolution

4}

A number of seminal papers have been published attempting to formalize Darwin’s biological theory from the point of view of computational sciences. Read More ›

^{Type
post

Author
Casey Luskin

Date
May 13, 2020

Categories
Evolution
Tagged
, active information, BIO-Complexity, Daniel Andrés Díaz-Pachón, Darwinian evolution, E. coli, equilibrium, First Rule of Adaptive Evolution, fitness landscape, genetic algorithms, genome, Jonathan Bartlett, Long Term Evolution Experiment, mathematician, Michael Behe, mutations, Richard Lenski, Robert J. Marks II, William A. Dembski}

New Papers Explore the Utility of Active Information

_{Casey Luskin
May 13, 2020

Evolution

7}

William Dembski and Robert J. Marks developed the concept of active information to measure the extent to which a search function appears pre-programmed to find some target. Read More ›