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Explanimator: Why machines don't think like humans

发布时间:2019-03-07 09:02:09来源:未知点击:

By MacGregor Campbell Computer programs can now spot liars better than humans and predict heart attacks four hours before a doctor. But artificial intelligence isn’t trying to compete with human minds: it reasons in a completely different way that can be beyond our comprehension. Most successful artificial brains depend on machine learning, which relies on massive amounts of data to train an algorithm for a specific goal. The approach is allowing computers to successfully perform a variety of tasks, such as gauging a person’s mood or detecting cats in YouTube videos. Probability is at the heart of this process. Initially, artificial intelligence doesn’t “know” anything; it just assigns a probability to an outcome, such as the likelihood that a given video contains a cat. If it’s correct, it can then use that information to change the probability it assigns to the next video it encounters, and so on. After enough cycles of guessing and receiving feedback, the algorithm will have a pretty good model of what a cat on a screen looks like. Although we have a crude understanding of how an artificial mind works,