Tag: evolutionary algorithms

Close-up shot of microscope with metal lens.

^{Type
post

Author
David Klinghoffer

Date
December 11, 2025

Categories
Evolution
Intelligent Design
Tagged
, __featured2, assumptions, biology, Casey Luskin, complex biological features, cosmic fine-tuning, DNA, Elon Musk, end of year, epigenetics, evolution, evolutionary algorithms, evolutionary models, intelligent design, irreducibly complex features, Neo-Darwinism, orphan genes, peer-reviewed literature, population genetics, predictions, Research, RNA splicing, Salvo Magazine, sugar code, systems biology, Terrell Clemmons, Third Way of Evolution, Tree of Life}

Luskin: The State of the Intelligent Design Debate

_{David Klinghoffer
December 11, 2025

Evolution, Intelligent Design

3}

Terrell Clemmons asked, "Where have you seen the ID movement make strides?" This is some of the material that I wish someone would share with Elon Musk. Read More ›

^{Type
post

Author
Casey Luskin

Date
March 19, 2024

Categories
Biology
Evolution
Fine-tuning
Intelligent Design
Tagged
, Andreas Wagner, biological complexity, convergence, evolution, evolutionary algorithms, evolutionary biologists, evolutionary processes, evolutionary theory, fitness landscapes, intelligent design, laws of nature, Ockham’s razor, preconditions, protein evolution, proteins, Rope Kojonen, science, structuralism, The Compatibility of Evolution and Design, The Compatibility of Evolution and Design (series), William A. Dembski}

Evolution Falsified? Rope Kojonen’s Achievement

_{Casey Luskin and Stephen Dilley
March 19, 2024

Biology, Evolution, Fine-tuning, Intelligent Design

8}

If unguided evolution can account for the eye of an eagle, does it make any sense to say that intelligent design is also needed? Read More ›

^{Type
post

Author
Emily Reeves

Date
January 2, 2024

Categories
Biology
Chemistry
Evolution
Intelligent Design
Physics
Tagged
, behavior, Big Bang, biological complexity, Brian Miller, Casey Luskin, convergence, death, diversity, Douglas Axe, environmental conditions, enzymes, equilibrium, evolution, evolutionary algorithms, George Ellis, gravity, initial conditions, intelligent design, laws of nature, leaves, mass-energy, material mechanisms, natural selection, Nature (journal), nucleotide sequences, periodic table of elements, phenotypic plasticity, proteins, quantum physics, Rope Kojonen, Second Law of Thermodynamics, stem cells, Stephen Dilley, structuralism, The Compatibility of Evolution and Design, The Compatibility of Evolution and Design (series), theistic evolution, thermodynamics}

Physics and Chemistry Could Not Give Rise to Biology

_{Emily Reeves
January 2, 2024

Biology, Chemistry, Evolution, Intelligent Design, Physics

16}

The laws of nature provide stable conditions and physical boundaries within which biological outcomes are possible. Read More ›

^{Type
post

Author
David Coppedge

Date
February 23, 2023

Categories
Evolution
Intelligent Design
Tagged
, BBC News, biomimicry, computer programs, ETH Zurich, evolution, evolutionary algorithms, fitness, intelligent design, Living Waters, mutations, offspring, Paul Nelson, PLOS ONE, Richard Dawkins, robots, selection, Star Trek, Star Wars, Switzerland, Tim Berra, William Shakespeare}

Robot Evolution? How the Trick Is Done

_{David Coppedge
February 23, 2023

Evolution, Intelligent Design

8}

Some evolutionists still don’t get it. You can’t design something for a purpose and call it Darwinism. Read More ›

^{Type
post

Date
December 16, 2020

Categories
Evolution
Intelligent Design
Tagged
, AlphaFold, amino-acid sequences, artificial intelligence, chaperones, DeepMind, DNA, Douglas Axe, engineers, enzymes, Evolution News, evolutionary algorithms, Ewen Callaway, Go (game), hyperdrive, intelligent design, Nature News, No Free Lunch, Nobel Prize, proteins, reverse-engineering, Science (journal), Signature in the Cell, Undeniable (book), University of Maryland, William A. Dembski}

Protein Folding Breakthrough: Evolution or Design?

_{Science and Culture
December 16, 2020

Evolution, Intelligent Design

8}

DeepMind, the AI company that beat human Go gamers with AlphaGo, has made progress in solving the protein folding problem. But who deserves the credit? Read More ›

^{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 17, 2020

Categories
Environment & Climate
Evolution
Tagged
, Achilles heel, Alan Turing, algorithms, computer science, Darwinian algorithm, early Earth, evolution, evolutionary algorithms, evolutionary computation, fitness functions, Neural Networks, predictions, programmers, software}

Some Possible Reasons for the Limited Success of Evolutionary Algorithms

_{Roman V. Yampolskiy
July 17, 2020

Environment & Climate, Evolution

7}

It is theoretically possible that out of thousands of scientists working on evolutionary computation, all failed to correctly implement the Darwinian algorithm. Read More ›

^{Type
post

Author
Roman V. Yampolskiy

Date
July 16, 2020

Categories
Evolution
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 ›

^{Type
post

Date
January 26, 2020

Categories
Intelligent Design
Tagged
, __edited, BIO-Complexity, Brian Miller, Center for Science and Culture, coevolution, Darwinism, evolution, evolutionary algorithms, flowers, honeybees, ID the Future, information, intelligent design, No Free Lunch theorems, Robert J. Marks II, Sarah Chaffee, search, sheep, Winston Ewert, wolves}

No Escape from Intelligent Design: Brian Miller Explores Coevolution

_{Science and Culture
January 26, 2020

Intelligent Design

1}

“Coevolutionary processes cannot drive macroevolution,” explains Dr. Miller. “Again it requires intelligent design.” Read More ›

^{Type
post

Date
January 3, 2019

Categories
Evolution
Intelligent 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 ›