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Anything that is function approximation is AI. This includes decision trees

• jsinai 7y ago
  Not necessarily. Numerical integration of differential equations is function approximation. Yes the algorithm you would use may be an “artificial” implementation of “intelligence” but it is not AI in the sense people usually think of it today. The bigger picture is that function approximation is ubiquitous in applied mathematics, whether it be numerical calculus or statistics. Machine learning encompasses the state-of-the-art, big-compute techniques that have made statistical function approximation so much more useful.
• TeMPOraL 7y ago
  I'd say code generation is AI. That would make Lisp macros a degenerate case (though a Lisp macro can implement a decision tree or a DNN). It would also make DNNs and classical ML both degenerate cases across a different dimension - you have a fixed box called "bunch of linear algebra" with lots of input parameters, and code generation amounts to determining the best sets of those parameters (remember, code = data). Genetic programming (not genetic algorithms) would be in the middle somewhere, because it involves generating Turing-complete code and not just numbers.