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Social Interaction in Robotic Agents Emulating the Mirror Neuron Function

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4528))

Abstract

Emergent interactions that are expressed by the movements of two agents are discussed in this paper. The common coding principle is used to show how the mirror neuron system may facilitate interaction behaviour. Synchronization between neuron groups in different structures of the mirror neuron system are in the basis of the interaction behaviour. The robotics experimental setting is used to illustrate the method. The resulting synchronization and turn taking behaviours show the advantages of the mirror neuron paradigm for designing of socially meaningful behaviour.

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José Mira José R. Álvarez

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Barakova, E.I. (2007). Social Interaction in Robotic Agents Emulating the Mirror Neuron Function. In: Mira, J., Álvarez, J.R. (eds) Nature Inspired Problem-Solving Methods in Knowledge Engineering. IWINAC 2007. Lecture Notes in Computer Science, vol 4528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73055-2_41

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  • DOI: https://doi.org/10.1007/978-3-540-73055-2_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73054-5

  • Online ISBN: 978-3-540-73055-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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