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Learning from Incongruence
[chapter]
2012
Studies in Computational Intelligence
We present an approach to constructing a model of the universe for explaining observations and making decisions based on learning new concepts. We use a weak statistical model, e.g. a discriminative classifier, to distinguish errors in measurements from improper modeling. We use boolean logic to combine outcomes of direct detectors of relevant events, e.g. presence of sound and presence of human shape in the field of view, into more complex models explaining the states in which the universe may
doi:10.1007/978-3-642-24034-8_10
fatcat:yn33coqomfeijbabxame7k46ei