Another example would be an artificial gem created using manufacturing processes that mimic the natural processes used to create real diamonds. But rather, that the artificial sweetener is a sugar substitute. This doesn’t mean that the artificial sweetener is the same as sugar because it is not. Suppose a chemist develops an artificial sweetener which tastes like sugar, looks like sugar, and smells like suger but is not sugar. Turing’s basic argument for the Turing Test can be explained in this way. The basic idea of the Turing Test is that if a human examiner could not distinguish the observable behavior of the computer from the observable behavior of a thinking human being, then this would provide a practical test for determining if the computer was thinking. Today, we discuss the problem of whether a computer is thinking? In the year 1950 (just a few years after the appearance of the first electronic computer), the mathematician Alan Turing approached this problem by postulating what we now call the Turing Test. In this series of podcasts my goal is to discuss important concepts of artificial intelligence and machine learning in hopefully an entertaining and educational manner. Hello everyone! Welcome to the fifth podcast in the podcast series Learning Machines 101. (Artificial Linguistic Internet Computer Entity) is interviewed and basic concepts of AIML (Artificial Intelligence Markup Language) are introduced. In this rerun of episode 5 we discuss the Turing Test for Artificial Intelligence which is designed to determine if the behavior of a computer is indistinguishable from the behavior of a thinking human being. Podcast: Play in new window | Download | Embed
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