Re: It's Just Pattern Recognition
Effectively, this is true. We see patterns in observation, then make predictions about how each possible action will affect the situation before choosing a set of actions to take. So any functioning artificial sapient system should also need this. However, pattern recognition and statistical analysis are slightly different, and human pattern recognition and limited pattern recognition based on a subset of available data are also quite different. I don't have as many problems with the term machine learning, because the creation of a model does learn from its training set. If the set is faulty, it will learn the wrong thing and use that, just as you could teach someone that circles have straight edges, the bright thing in the sky is called a tree, and certain types of people have ingrained qualities that can be applied to any other person in that category, and they will act on those flawed notions.
Biting the hand that feeds IT
