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We describe basic ideas underlying research to build and understand artificially intelligent systems: from symbolic approaches via statistical learning to interventional models relying on concepts of causality.
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A. Gretton, R. Herbrich, A. Smola, O. Bousquet, and B. Schölkopf, Kernel methods for measuring independence. Journal of Machine Learning Research 6
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