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Statistical AI, arising from machine learning, tends to be more concerned with "inductive" thought: given a set of patterns, make the trend. Classical AI, on the other hand, is more concerned with "deductive" thought: given a set of constraints, assume a conclusion
A system can't be truly intelligent without displaying properties of both inductive and deductive thought. This lends many to believe that in the end, there will be some part of synthesis of statistical and classical AI.
1. The State of the Art: What can AI do today? A concise answer is difficult because there are so many activities in so many subfields. Here we sample a few applications other
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A distributed network configuration in which all data/information pass through a central computer is (A) Bus network (B) Star network (C) Rin
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