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“Ecorithm”: How Darwinism creates information?

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According to computer scientist Leslie Valiant.

From John Pavlus at Quanta:

Valiant’s self-stated goal is to find “mathematical definitions of learning and evolution which can address all ways in which information can get into systems.” If successful, the resulting “theory of everything” — a phrase Valiant himself uses, only half-jokingly — would literally fuse life science and computer science together. Furthermore, our intuitive definitions of “learning” and “intelligence” would expand to include not only non-organisms, but non-individuals as well. The “wisdom of crowds” would no longer be a mere figure of speech.

How can a theory of learning be applied to a phenomenon like biological evolution?

Biology is based on protein expression networks, and as evolution proceeds these networks become modified. The PAC learning model imposes some logical limitations on what could be happening to those networks to cause these modifications when they undergo Darwinian evolution. If we gather more observations from biology and analyze them within this PAC-style learning framework, we should be able to figure out how and why biological evolution succeeds, and this would make our understanding of evolution more concrete and predictive.

How far have we come?

We haven’t solved every problem we face regarding biological behavior because we have yet to identify the actual, specific ecorithms used in biology to produce these phenomena. So I think this framework sets up the right questions, but we just don’t know the right answers. I think these answers are reachable through collaboration between biologists and computer scientists. We know what we’re looking for. We are looking for a learning algorithm obeying Darwinian constraints that biology can and does support. It would explain what’s happened on this planet in the amount of time that has been available for evolution to occur. More.

“We are looking for a learning algorithm obeying Darwinian constraints that biology can and does support.”?

Sir, you have the wrong universe.

See also: What we know and don’t, know about the origin of life

and

The enigma of information

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3 Replies to ““Ecorithm”: How Darwinism creates information?

  1. 1
    jimmontg says:

    They can deny it all they want and they will, but they have a belief in a religion called reductionist naturalism. They howl and cry we superstitious fools believe in an invisible Man in the sky. They can’t see the forest for the trees when they claim we have no evidence. Existence, why we do have existence is a good evidence. They have their creation “myths” too. Lots of speculation that in the end is becomes incoherent conjecture. At least it is logical for an Eternal Ultimate to exist. It never occurs to the atheist that the fact that we can discuss such mind bending abstracts like infinite sets versus absurdities caused by actual infinities is a proof that we didn’t come from animals. God is the maximal Being, we cannot conceive of anyone or thing higher. Anselm was right, God must exist.

    Yet they still cannot tell us what the purpose of life is except to say it has no purpose. They are stuck in an infinite egress of “Once upon a time There HAD to be….”
    I feel bad for them because when they die they will find out how wrong they are. Never in my life did I believe in nothing comes from nothing, but they do. All kinds of made up nothingness is what they have to look forward to. You wonder why they bother sometimes.

    They need a Father.

  2. 2
    DLH says:

    He has to explain the Origin of Information, not just the Origin of Life.
    See Werner Gitt In The Beginning Was Information

  3. 3

    ” … Valiant’s self-stated goal is to find “mathematical definitions of learning and evolution which can address all ways in which information can get into systems.” … ”

    Isn’t this just a restatement of the — infinite number of monkeys banging on an infinite number of typewriters for an infinite amount of time producing Shakespeare’s plays?

    Where can I mail in some bucks and get my own PhD?

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