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What you refer to as logic AI is a subset of what is called symbolic AI, as you manipulate symbols, according to certain rules (which could be rules of logic). These rules are either authored by a human being, or they can be learned from examples. There are algorithms to derive decision trees (eg ID3) or other rule sets from training data. But the important ...


1

I think that your description is roughly correct, but I wouldn't call a "sampling model" a "model" because it doesn't necessarily model something, unless, for example, you are first learning in simulation to later be able to act in the real-world or environment (in this sense, the simulation would be a model of the real environment, but ...


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