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This paper presents a set of methods by which a learning agent can learn a sequence of increasingly abstract and powerful interfaces to control a robot whose sensorimotor apparatus and environment are initially unknown.
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Indeed, it is conceivable that participants on the stereoscopic SL task also learned the sequence of response locations during training (for SOC1, L R R L L R L R L R R L), particularly given that the learning of response locations can be independent of learning a sequence of visuospatial locations [16], [17], [48].
Using a finger-tapping task (learning a sequence of taps) they first demonstrated that a period of sleep can enhance performance (recollection).
You can learn a lot from this body of work.
Additional evidence that non-human primates can learn linear sequences of sounds defined by simple transitional probabilities between concatenated elements [Arnold and Zuberbühler, 2006; Fitch and Friederici, 2012; Wilson et al., 2013] suggest further parallels that may underpin bihemispheric linguistic capacities in the modern human.
Based on the first experiment, the model can learn 15 drawing sequences for three types of pictures, acquiring associative memory for drawing motions through the bottom-up learning process.
Obviously, no student can learn all of this during a conventional two-semester sequence of introductory biology.
Neither can anyone learn English, one can only learn a series of Englishes.
Instead, one can perform a sequence of closed-loop identification and controller design steps, aiming at progressively learning how to increase the control performance through experience.
If DNA sequences within a species are compared, population geneticists can learn the history of particular populations.
The recursive list can store a sequence of values in order, but it does not yet implement the sequence abstraction.
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