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Bootstrap learning of foundational representations
2006
Connection science
To be autonomous, intelligent robots must learn the foundations of commonsense knowledge from their own sensorimotor experience in the world. We describe four recent research results that contribute to a theory of how a robot learning agent can bootstrap from the 'blooming buzzing confusion' of the pixel level to a higher-level ontology including distinctive states, places, objects, and actions. This is not a single learning problem, but a lattice of related learning tasks, each providing
doi:10.1080/09540090600768484
fatcat:ckqjttktnvdbtb4ekftx3q22gq