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Evolution needs brain science

John Ball
Pat Inc
Published in
5 min readDec 10, 2024

to explain human skills and language

The father of evolutionary theory, Charles Darwin. How did human capability evolve and where did language come from? Photo by Doina Gavrilov on Unsplash

One of the big unsolved problems of science is how our language evolved and how the brain works. In the Tom Wolfe book, Kingdom of Speech, explaining the evolution of language was discussed on p.3–5. He wrote:

“THE MYSTERY OF LANGUAGE EVOLUTION

It seems that eight heavyweight Evolutionists — linguists, biologists, anthropologists, and computer scientists — had published an article announcing they were giving up, throwing in the towel, folding, crapping out when it came to the question of where speech — language — comes from and how it works. …

… One of the eight was the biggest name in the history of linguistics, Noam Chomsky. …

I had never heard of a group of experts coming together to announce what abject failures they were…”

Explaining the evolution of the brain and its function is one of the goals of Patom theory, a brain theory that moved from a parallel processing model to a better one that we can implement on a sequential computer easily. Rather than starting with a computer-like model, Patom theory stores memories where they first make an impression in our brain. After the pattern is stored, it signals to its upstream and downstream neighbors that it has been matched. This upstream and downstream…

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Pat Inc
Pat Inc

Published in Pat Inc

A scientific breakthrough in #ConversationalAI. Meaning-based NLU vs. Deep Learning Intent NLU. Sign up for early access: https://pat.ai/

John Ball
John Ball

Written by John Ball

I'm a cognitive scientist working on NLU (Natural Language Understanding) systems based on RRG (Role and Reference Grammar). A mouthful, I know!

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