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Common Sensorimotor Representation for Self-initiated Imitation Learning
[chapter]
2012
Lecture Notes in Computer Science
Internal representation is an important design decision in any imitation learning system. Actions and perceptual spaces were separate in classical AI due to the standard sense-process-act loop. Recently another representation that combines the two spaces into what we call a common sensorimotor space was inspired by the discovery of mirror neurons in animals and humans. The justification of this move is usually biological plausibility. This paper reports on a series of experiments comparing
doi:10.1007/978-3-642-31087-4_40
fatcat:md6bokzh3rcgvenzbwo5oz5qyi