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I thought it was common for people to think of AI as largely disjoint from machine learning ... AI covering all the expert/rule based systems, grammars, and se

• YeGoblynQueenne 9y ago
  Well, machine learning arose partly from the need to find a better way to create rule-bases than hand-crafting them, painstakingly and at great cost. You can see this more clearly in the work of early pioneers like Ryszard Michalski, or in inductive inference (the field preoccupied with learning automata from examples). All these have always been well in the purview of classical AI. Then of course there's the connectionist branch that explicitly set out to take inspiration from the human brain. I don't think that anyone ever saw neural networks as anything but AI for the last 50 years or so. In any case, when the connectionist were having arguments, they were having them with other AI folks, not with, say, statisticians, or mathematicians. Then, if you think about the classic tasks that machine learning systems perform, they're all firmly classic AI tasks: classification, game-playing, machine vision, speech processing, etc etc. I mean, the fact that models are "predictive" on its own doesn't tell you that machine learning is separate from AI. After all, an intelligent agent must be able to make predictions about its environment and the outcome of its actions on this environment.