reading of the language of nature. What the corresponding ’’words” imply
and how these should be interpreted in the context of a language is an open
issue and calls for work in future.
Within the field of Artificial Intelligence, it is important to know as to
how humans actually acquire knowledge, which is so intrinsically related
to language. Clearly the fact that the spoken human language is basically
different from the language of nature ( mathematics ), should be a significant
fact for AI scientists. Language is more complex than what was thought of
so far. Hence we have to redefine what we mean by intelligence in the first
place. This prompts for further work.
In summing up, mathematics is a precise and exact language. As such
most of the sounds∕words in it are gibberish ( pure mathematics ) and the
rest are relevant and useful sounds ( applied mathematics ) which maps
the physical reality in an accurate manner. In the explanation presented
here there is no dichotomy of mathematics as in the view of say the logical
positivists ( and may I say that of most of the philosophers of science as well
). In addition nature also allows us to be able to ’’pronounce” the words
correctly.
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