3. Discovering The Mathematical Algorithm Of Our Intelligence
For years, neuroscientists and computer experts have been curious about how the brain is able to not only store information, but also to categorize and generalize it into abstract concepts. They have been speculating on the premise that there must be some basic design principle of the origin of our intelligence— the way DNA’s double helix is universal for every organism.
The lucky guy who came up with the most plausible hypothesis about the design behind our complex brain computations is a neuroscientist at the Medical College of Georgia. He came up with an algorithm, n=2i-1, which defines how many cliques (or groups of similar neurons) will come together into bigger clusters to handle every possibility in a situation.
In other words, the more cliques, the more complex the thought. In the formula, N is the number of neural cliques connected in different possible ways, 2 stands for whether those cliques receive the input or not, iis the information they receive, and -1 is just a mathematical number which enables you to account for all possibilities. So, if the very complex human intelligence can be summed up by a certain algorithm, imagine what it will mean for artificial intelligence!
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