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Abstract : |
Recent developments in philosophy, linguistics, developmental psychology and arti cial intelligence make it possible to envision a developmental path for an arti cial agent, grounded in activity-based sensorimotor representations. This paper describes how Neo,anarti cial agent, learns concepts by interacting with its simulated environment. Relatively little prior structure is required to learn fairly accurate representations of objects, activities, locations and other aspects of Neo's experience. We show how classes (categories) can be abstracted from these representations., |
