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Information is never without uncertainty, argues Tim Andersen, Ph.D., Research in general relativity and quantum field theory, published in Cantor's Paradise.
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| Photo: Alex Chambers on Unsplash |
The brain is an amazingly complex machine for processing information. Whatever your philosophy of mind is, you can’t deny that it depends in large part on the brain’s ability to process incoming signal data and convert that data into higher level understanding.
These days brain-inspired techniques have taken over Artificial Intelligence (AI) in a way that they never had decades ago.
Yet, skepticism over neural networks and their ability to mimic human intelligence remains strong, particularly among those with a strong mathematical background, because neural networks are, fundamentally, statistical instruments. They are nothing more nor less than a way of determining statistics from data and then mining those statistical insights for factors. Even decision making, which seems like a non-statistical activity, is statistical in that it represents the correlation between two spaces: that of data and that of decisions.
This article, however, is not about artificial intelligence but about the very nature of information. The overarching thesis is that all empirical knowledge is statistical...
This is why everything you’ve ever known is essentially statistical.
Source: Medium
