Super excited to talk tomorrow (July 30th, 3pm pacific) at Abralin ao Vivo about joint with Yuan Yang. I'll be presenting a long-running project on language acquisition that tackles language learnability questions with Bayesian program learning tools.— steven t. piantadosi (@spiantado) July 29, 2020
Here's a summary thread. https://t.co/wVnQEncPJj
A bunch of tweets go here. Then:
But *the* thing that domain general learning systems do is create domain specific representations. That's what happens in math, reading, or driving. They all get domain specific representations from domain general mechanisms.— steven t. piantadosi (@spiantado) July 29, 2020
I think Borges is a pretty important work in information theory: https://t.co/ZAS1sfevH7— steven t. piantadosi (@spiantado) July 29, 2020
So, you can learn many of the formal structures that have been argued to be necessary for language, using simple, domain-general tools. Maybe this will help to connect language acquisition to algorithm and concept learning found elsewhere in cognitive science.— steven t. piantadosi (@spiantado) July 29, 2020
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