In the grand scheme of work, this seemed to be a mere hobbyist endeavor. They hoped to achieve a fully functional computer capable of making decisions while playing against a human player … or even a chess master. The scientists of the 40’s had grander designs. Shannon, wanted to create a machine that could play chess on a human level.Ĭhess machines had existed from as far back as 1914, but the machines were limited to random legal move selections and specified patterns. Electrical engineers, mathematicians and early computer scientists, including Alan Turing and Claude E. In fact, has a variety of computer players available for practicing your game - each with different personalities and playing styles, from aggressive to conservative.īut getting to this point took a great deal of work in the 1940’s and 50’s. How About a Nice Game of Chess?Īnyone with a phone app, or a basic PC, can boot up a chess game against a computer player that is capable of outpacing you at any given level. This was the fundamental principle established by computer scientists when they sought to create a machine that could play chess like a human. Wisdom is knowing what to do with those facts. The easiest way to think about it would be knowledge vs. The idea of machine learning is a machine being able to understand and interpret the data artificial intelligence, under the best circumstances, is able to decide what data points are important, which are not … and determine the best action from that evaluation. There is a key difference between “machine learning” and “artificial intelligence.” While they both involve a machine learning from a set of data points to reach a specific goal, artificial intelligence differs in that it involves a machine making decisions much like a human would.
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