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We present a very simple unsupervised vector quantizer which extracts higher order concepts from time series generated from sensors on a mobile robot as it moves through an environment. The vector quantizer is constructive, i.e. it adds new model vectors, each one encoding a separate higher order concept, to account for any novel situation the robot encounters. The number of higher order concepts...