Home » Intelligent Design » Evolutionists Are Now Saying They Have Solved the Problem of Evolvability

Evolutionists Are Now Saying They Have Solved the Problem of Evolvability

It is remotely possible that Joel Lehman’s and Kenneth Stanley’s new paper on evolvability might have some useful, practical application. Perhaps it could help in designing better self-learning systems. Or maybe it could lead to improved training software. I certainly hope it leads to something useful because I paid for it—me and my fellow taxpayers. Unfortunately the paper appears to be yet another waste of taxpayer’s hard earned money in support of the unscientific, religiously-driven belief that the entire world of biology, and everything else for that matter, arose by itself.  Read more

  • Delicious
  • Facebook
  • Reddit
  • StumbleUpon
  • Twitter
  • RSS Feed

7 Responses to Evolutionists Are Now Saying They Have Solved the Problem of Evolvability

  1. neo-Darwinian processes, as Behe has revealed with his 2010 paper ‘The First Rule’, has an overwhelming tendency to degrade already existent molecular structures. Apparently this degradation neo-Darwinism imposes on anything it touches extends to the macro level of degrading science itself and even to the degradation of human morality:

    How Did Society Get to Where We Flush Babies Down the Toilet?
    Excerpt: The title of this article actually comes from a quote from an abortion facility employee in Bronx, New York.
    http://www.lifenews.com/2013/0.....he-toilet/

    How Darwin’s Theory Changed the World -
    Rejection of Judeo-Christian values
    Excerpt: Weikart explains how accepting Darwinist dogma shifted society’s thinking on human life: “Before Darwinism burst onto the scene in the mid-nineteenth century, the idea of the sanctity of human life was dominant in European thought and law (though, as with all ethical principles, not always followed in practice). Judeo-Christian ethics proscribed the killing of innocent human life, and the Christian churches explicitly forbade murder, infanticide, abortion, and even suicide.

    “The sanctity of human life became enshrined in classical liberal human rights ideology as ‘the right to life,’ which according to John Locke and the United States Declaration of Independence, was one of the supreme rights of every individual” (p. 75).

    Only in the late nineteenth and especially the early twentieth century did significant debate erupt over issues relating to the sanctity of human life, especially infanticide, euthanasia, abortion, and suicide. It was no mere coincidence that these contentious issues emerged at the same time that Darwinism was gaining in influence. Darwinism played an important role in this debate, for it altered many people’s conceptions of the importance and value of human life, as well as the significance of death” (ibid.).
    http://www.gnmagazine.org/issu.....-world.htm

  2. Notes as to simulating ‘evolvability’ with computer programs:

    Alan Turing and Kurt Godel – Incompleteness Theorem and Human Intuition – video (notes in video description)
    http://www.metacafe.com/watch/8516356/

    “Information is information, not matter or energy. No materialism which does not admit this can survive at the present day.”
    Norbert Weiner – MIT Mathematician -(Cybernetics, 2nd edition, p.132) Norbert Wiener created the modern field of control and communication systems, utilizing concepts like negative feedback. His seminal 1948 book Cybernetics both defined and named the new field.

    Algorithmic Information Theory, Free Will and the Turing Test – Douglas S. Robertson
    Excerpt: Chaitin’s Algorithmic Information Theory shows that information is conserved under formal mathematical operations and, equivalently, under computer operations. This conservation law puts a new perspective on many familiar problems related to artificial intelligence. For example, the famous “Turing test” for artificial intelligence could be defeated by simply asking for a new axiom in mathematics. Human mathematicians are able to create axioms, but a computer program cannot do this without violating information conservation. Creating new axioms and free will are shown to be different aspects of the same phenomena: the creation of new information.
    http://cires.colorado.edu/~dou...../info7.pdf

    “Darwin or Design” with Dr. Tom Woodward with guest Dr. Robert J. Marks II – video
    http://www.youtube.com/watch?v=Yoj9xo0YsOQ

    Before They’ve Even Seen Stephen Meyer’s New Book, Darwinists Waste No Time in Criticizing Darwin’s Doubt – William A. Dembski – April 4, 2013
    Excerpt: In the newer approach to conservation of information, the focus is not on drawing design inferences but on understanding search in general and how information facilitates successful search. The focus is therefore not so much on individual probabilities as on probability distributions and how they change as searches incorporate information. My universal probability bound of 1 in 10^150 (a perennial sticking point for Shallit and Felsenstein) therefore becomes irrelevant in the new form of conservation of information whereas in the earlier it was essential because there a certain probability threshold had to be attained before conservation of information could be said to apply. The new form is more powerful and conceptually elegant. Rather than lead to a design inference, it shows that accounting for the information required for successful search leads to a regress that only intensifies as one backtracks. It therefore suggests an ultimate source of information, which it can reasonably be argued is a designer. I explain all this in a nontechnical way in an article I posted at ENV a few months back titled “Conservation of Information Made Simple” (go here). ,,,
    ,,, Here are the two seminal papers on conservation of information that I’ve written with Robert Marks:

    “The Search for a Search: Measuring the Information Cost of Higher-Level Search,” Journal of Advanced Computational Intelligence and Intelligent Informatics 14(5) (2010): 475-486

    “Conservation of Information in Search: Measuring the Cost of Success,” IEEE Transactions on Systems, Man and Cybernetics A, Systems & Humans, 5(5) (September 2009): 1051-1061

    For other papers that Marks, his students, and I have done to extend the results in these papers, visit the publications page at http://www.evoinfo.org
    http://www.evolutionnews.org/2.....70821.html

    Here is what Gregory Chaitin said about the limits of the computer program he was trying to develop to prove evolution was mathematically feasible:

    At last, a Darwinist mathematician tells the truth about evolution – VJT – November 2011
    Excerpt: In Chaitin’s own words, “You’re allowed to ask God or someone to give you the answer to some question where you can’t compute the answer, and the oracle will immediately give you the answer, and you go on ahead.”
    http://www.uncommondescent.com.....evolution/

    Here is the video where, at the 30:00 minute mark, you can hear the preceding quote from Chaitin’s own mouth in full context:

    Life as Evolving Software, Greg Chaitin at PPGC UFRGS
    http://www.youtube.com/watch?v=RlYS_GiAnK8

    Moreover, at the 40:00 minute mark of the video Chaitin readily admits that Intelligent Design is the best possible way to get evolution to take place, and at the 43:30 minute mark Chaitin even tells of a friend pointing out that the idea Evolutionary computer model that Chaitin has devised does not have enough time to work. And Chaitin even agreed that his friend had a point, although Chaitin still ends up just ‘wanting’, and not ever proving, his idea Darwinian mathematical model to be true!

    Algorithmic Information Theory, Free Will and the Turing Test – Douglas S. Robertson
    Excerpt: The basic problem concerning the relation between AIT (Algorithmic Information Theory) and free will can be stated succinctly: Since the theorems of mathematics cannot contain more information than is contained in the axioms used to derive those theorems, it follows that no formal operation in mathematics (and equivalently, no operation performed by a computer) can create new information.
    http://cires.colorado.edu/~dou...../info7.pdf

    In the following podcast, Robert Marks gives a very informative talk as to the strict limits we can expect from any evolutionary computer program (evolutionary algorithm):

    Darwin as the Pinball Wizard: Talking Probability with Robert Marks – podcast
    http://www.idthefuture.com/201.....ard_t.html

    Here are a few quotes from Robert Marks from the preceding podcast, as well as link to further quotes by Dr. Marks:

    * [Computer] programs to demonstrate Darwinian evolution are akin to a pinball machine. The steel ball bounces around differently every time but eventually falls down the little hole behind the flippers.

    * It’s a lot easier to play pinball than it is to make a pinball machine.

    * Computer programs, including all of the models of Darwinian evolution of which I am aware, perform the way their programmers intended. Doing so requires the programmer infuse information about the program’s goal. You can’t write a good program without [doing so].
    Robert J. Marks II – Distinguished Professor of Electrical and Computer Engineering at Baylor University

    Supplemental note:

    Are Humans merely Turing Machines?
    https://docs.google.com/document/d/1cvQeiN7DqBC0Z3PG6wo5N5qbsGGI3YliVBKwf7yJ_RU/edit

  3. Notes as to simulating ‘evolvability’ with computer programs:

    Alan Turing and Kurt Godel – Incompleteness Theorem and Human Intuition – video (notes in video description)
    http://www.metacafe.com/watch/8516356/

    “Information is information, not matter or energy. No materialism which does not admit this can survive at the present day.”
    Norbert Weiner – MIT Mathematician -(Cybernetics, 2nd edition, p.132) Norbert Wiener created the modern field of control and communication systems, utilizing concepts like negative feedback. His seminal 1948 book Cybernetics both defined and named the new field.

    Algorithmic Information Theory, Free Will and the Turing Test – Douglas S. Robertson
    Excerpt: Chaitin’s Algorithmic Information Theory shows that information is conserved under formal mathematical operations and, equivalently, under computer operations. This conservation law puts a new perspective on many familiar problems related to artificial intelligence. For example, the famous “Turing test” for artificial intelligence could be defeated by simply asking for a new axiom in mathematics. Human mathematicians are able to create axioms, but a computer program cannot do this without violating information conservation. Creating new axioms and free will are shown to be different aspects of the same phenomena: the creation of new information.
    http://cires.colorado.edu/~dou...../info7.pdf

    “Darwin or Design” with Dr. Tom Woodward with guest Dr. Robert J. Marks II – video
    http://www.youtube.com/watch?v=Yoj9xo0YsOQ

    Before They’ve Even Seen Stephen Meyer’s New Book, Darwinists Waste No Time in Criticizing Darwin’s Doubt – William A. Dembski – April 4, 2013
    Excerpt: In the newer approach to conservation of information, the focus is not on drawing design inferences but on understanding search in general and how information facilitates successful search. The focus is therefore not so much on individual probabilities as on probability distributions and how they change as searches incorporate information. My universal probability bound of 1 in 10^150 (a perennial sticking point for Shallit and Felsenstein) therefore becomes irrelevant in the new form of conservation of information whereas in the earlier it was essential because there a certain probability threshold had to be attained before conservation of information could be said to apply. The new form is more powerful and conceptually elegant. Rather than lead to a design inference, it shows that accounting for the information required for successful search leads to a regress that only intensifies as one backtracks. It therefore suggests an ultimate source of information, which it can reasonably be argued is a designer. I explain all this in a nontechnical way in an article I posted at ENV a few months back titled “Conservation of Information Made Simple” (go here). ,,,
    ,,, Here are the two seminal papers on conservation of information that I’ve written with Robert Marks:

    “The Search for a Search: Measuring the Information Cost of Higher-Level Search,” Journal of Advanced Computational Intelligence and Intelligent Informatics 14(5) (2010): 475-486

    “Conservation of Information in Search: Measuring the Cost of Success,” IEEE Transactions on Systems, Man and Cybernetics A, Systems & Humans, 5(5) (September 2009): 1051-1061

    For other papers that Marks, his students, and I have done to extend the results in these papers, visit the publications page at http://www.evoinfo.org
    http://www.evolutionnews.org/2.....70821.html

  4. Here is what Gregory Chaitin said about the limits of the computer program he was trying to develop to prove evolution was mathematically feasible:

    At last, a Darwinist mathematician tells the truth about evolution – VJT – November 2011
    Excerpt: In Chaitin’s own words, “You’re allowed to ask God or someone to give you the answer to some question where you can’t compute the answer, and the oracle will immediately give you the answer, and you go on ahead.”
    http://www.uncommondescent.com.....evolution/

    Here is the video where, at the 30:00 minute mark, you can hear the preceding quote from Chaitin’s own mouth in full context:

    Life as Evolving Software, Greg Chaitin at PPGC UFRGS
    http://www.youtube.com/watch?v=RlYS_GiAnK8

    Moreover, at the 40:00 minute mark of the video Chaitin readily admits that Intelligent Design is the best possible way to get evolution to take place, and at the 43:30 minute mark Chaitin even tells of a friend pointing out that the idea Evolutionary computer model that Chaitin has devised does not have enough time to work. And Chaitin even agreed that his friend had a point, although Chaitin still ends up just ‘wanting’, and not ever proving, his idea Darwinian mathematical model to be true!

    Algorithmic Information Theory, Free Will and the Turing Test – Douglas S. Robertson
    Excerpt: The basic problem concerning the relation between AIT (Algorithmic Information Theory) and free will can be stated succinctly: Since the theorems of mathematics cannot contain more information than is contained in the axioms used to derive those theorems, it follows that no formal operation in mathematics (and equivalently, no operation performed by a computer) can create new information.
    http://cires.colorado.edu/~dou...../info7.pdf

    In the following podcast, Robert Marks gives a very informative talk as to the strict limits we can expect from any evolutionary computer program (evolutionary algorithm):

    Darwin as the Pinball Wizard: Talking Probability with Robert Marks – podcast
    http://www.idthefuture.com/201.....ard_t.html

    Here are a few quotes from Robert Marks from the preceding podcast, as well as link to further quotes by Dr. Marks:

    * [Computer] programs to demonstrate Darwinian evolution are akin to a pinball machine. The steel ball bounces around differently every time but eventually falls down the little hole behind the flippers.

    * It’s a lot easier to play pinball than it is to make a pinball machine.

    * Computer programs, including all of the models of Darwinian evolution of which I am aware, perform the way their programmers intended. Doing so requires the programmer infuse information about the program’s goal. You can’t write a good program without [doing so].
    Robert J. Marks II – Distinguished Professor of Electrical and Computer Engineering at Baylor University

    Supplemental note:

    Are Humans merely Turing Machines?
    https://docs.google.com/document/d/1cvQeiN7DqBC0Z3PG6wo5N5qbsGGI3YliVBKwf7yJ_RU/edit

  5. Note to moderator, please delete comments 3 and 4 (and this one, which will be 5)

  6. 6
    Chance Ratcliff

    Evolvability evolved. That’s certainly rich. James Shapiro seems to promote a similar idea:

    “But the capacity to change is itself adaptive. Over time, conditions inevitably change, and the organisms that can best acquire novel inherited functions have the greatest potential to survive.” – James Shapiro – Evolution: A View from the 21st Century – Kindle location 311

    Now that we’re discovering the stunning non-random nature of organismal change, the conclusion is that this mechanism for allowing responsive, non-Darwinian adaptation is itself the product of Darwinian evolution.

  7. 7
    Chance Ratcliff

    Physiology is rocking the foundations of evolutionary biology

    Abstract

    The ‘Modern Synthesis’ (Neo-Darwinism) is a mid-twentieth century gene-centric view of evolution, based on random mutations accumulating to produce gradual change through natural selection. Any role of physiological function in influencing genetic inheritance was excluded. The organism became a mere carrier of the real objects of selection: its genes. We now know that genetic change is far from random and often not gradual. Molecular genetics and genome sequencing have deconstructed this unnecessarily restrictive view of evolution in a way that reintroduces physiological function and interactions with the environment as factors influencing the speed and nature of inherited change. Acquired characteristics can be inherited, and in a few but growing number of cases that inheritance has now been shown to be robust for many generations. The twenty-first century can look forward to a new synthesis that will reintegrate physiology with evolutionary biology.

    This video lecture featuring Denis Noble parallels the above article: Physiology and the revolution in Evolutionary Biology

Leave a Reply