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Prof. Nick Chater - The Language Game (Part 1)

Machine Learning Street Talk (MLST)

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Exploring Bayesian Thinking in Cognition

This chapter examines the Bayesian brain hypothesis, questioning the extent to which the brain utilizes Bayesian updates for cognitive functions. It highlights the limitations of current models in providing a holistic understanding of cognition while recognizing their usefulness in certain contexts. The discussion also integrates historical anecdotes and literature that influence perspectives on language and cognitive architecture.

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