Evolution Falsified? Rope Kojonen’s Achievement

accommodationism, Andreas Wagner, biological complexity, biology, convergence, Evolution, evolutionary algorithms, evolutionary biologists, evolutionary processes, evolutionary theory, fine-tuning, fitness landscapes, flora and fauna, 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 Dembski
If unguided evolution can account for the eye of an eagle, does it make any sense to say that intelligent design is also needed? Source
Read More

Physics and Chemistry Could Not Give Rise to Biology

behavior, Big Bang, biological complexity, biology, Brian Miller, Casey Luskin, Chemistry, convergence, death, Diversity, Douglas Axe, electrostatic laws, environmental conditions, enzymes, equilibrium, Evolution, evolutionary algorithms, first law of thermodynamics, George Ellis, gravity, initial conditions, Intelligent Design, laws of forms, laws of nature, leaves, mass-energy, material mechanisms, natural selection, Nature (journal), nucleotide sequences, periodic table of elements, phenotypic plasticity, physics, 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)
The laws of nature provide stable conditions and physical boundaries within which biological outcomes are possible. Source
Read More

Neuroevolution Methods Show Significant Success

AI Complete, artificial general intelligence, artificially intelligent agents, computer science, computer simulations, Darwin Machines, deep learning, Evolution, evolutionary algorithms, Evolutionary Bioinformatics, evolutionary computations, genetic algorithms, genetic programming, John Koza, Neural Networks, neuroevolution, Neuroscience & Mind, non-continuous fitness, optimization problems, software, software engineering
The Darwinian algorithm works in theory, but does not work in practice, when applied in the domain of software production. Source
Read More

Some Possible Reasons for the Limited Success of Evolutionary Algorithms

Achilles heel, Alan Turing, algorithms, Artificial Neural Networks, artificial neurons, computer science, Darwinian algorithm, early Earth, environment, Evolution, evolutionary algorithms, evolutionary computation, fitness functions, predictions, programmers, Second Life, software, speech recognition, Test Driven Development
It is theoretically possible that out of thousands of scientists working on evolutionary computation, all failed to correctly implement the Darwinian algorithm. Source
Read More