Science Uprising: Who wins the battle over mind?

The scientific evidence for immaterial mind defeats materialism – claims Dr. Egnor, a neurosurgeon affiliated with the Discovery Institute… Not so quickly – says Dr. Faizal Ali, a psychiatrist affiliated with CAMH and University of Toronto, who describes himself as an anti-creationist and a militant atheist. He believes that neural networks can be responsible for the emergence of the human mind, naturally…

Let’s look at their evidence…

Dr. Faizal Ali suggested:

“I often ask people who insist their mind is immaterial to put their money where their mouths are, by scooping out their brain and pulverizing it in a food processor, then continuing our discussion with their mental faculties still intact, as they should be if they were correct. No one has ever taken me up on this.”

Dr. Egnor does the scooping of the brains often by surgically removing the great majority of the brain… If Dr. Ali’s neural networks theory is correct, how come the mind is often not effected by the majority of the neural networks missing after surgery? This evidence would seem to support Dr. Egnor’s theory that the mind is immaterial and therefore unaffected by the majority of the brain tissue missing…

However, just like Dr. Ali seems to imply, not the whole brain can be discarded. Moreover, it is a well known fact, and both neurosurgeons and psychiatrists are well aware of the fact, that even a small damage to certain parts of the brain can shut down the entire neural networks and the immaterial mind…

So, who is right? Who is wrong?

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602 thoughts on “Science Uprising: Who wins the battle over mind?

  1. Could have been duelist.

    Manufacturing robots do not learn by trial and error.

    Anything resembling intelligence and volition has to evolve.

    We have built learning robots. Some of them are self driving cars.

    They are pretty primitive right now, hardly safer than humans, but they will get better.

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  2. I’m pretty sure the crash prevention system that are becoming standard equipment, are programmed by learning. The installed systems do not continue to learn, but their behavior is the result of learning.

    In that sense they are a bit like instinct.

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