Computer engineer Eric Holloway: Artificial intelligence is impossible
|September 25, 2018||Posted by News under Artificial Intelligence, Information, Intelligent Design|
Holloway distinguishes between meaningful information and artificial intelligence:
What is meaningful information, and how does it relate to the artificial intelligence question?
First, let’s start with Claude Shannon’s definition of information. Shannon (1916–2001), a mathematician and computer scientist, stated that an event’s information content is the negative logarithm* of its probability.
So, if I flip a coin, I generate 1 bit of information, according to his theory. The coin came down heads or tails. That’s all the information it provides.
However, Shannon’s definition of information does not capture our intuition of information. Suppose I paid money to learn a lot of information at a lecture and the lecturer spent the whole session flipping a coin and calling out the result. I’d consider the event uninformative and ask for my money back.
But what if the lecturer insisted that he has produced an extremely large amount of Shannon information for my money, and thus met the requirement of providing a lot of information? I would not be convinced. Would you?
A quantity that better matches our intuitive notion of information is mutual information. Mutual information measures how much event A reduces our uncertainty about event B. We can see mutual information in action if we picture a sign at a fork in the road. More. (Eric Holloway, “Artificial intelligence is impossible” at Mind Matters Today)
See also: Could one single machine invent everything? (Eric Holloway)
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