A hypothesis on how the robot’s self might emerge in the future will be set in this paper, as this could help us understand how it worked on humans. Since here, a sound computational explanation about some aspects of consciousness will be offered; as physical, chemical and psychological ones lack power to do so. This explanation involves neural modules that forecast each other and a computational fixed point that emerges from there. In this paper, the self is proposed as an emergent fixed point caused by a loop in the scope of prediction functions inside the brain.
CITATION STYLE
de la Encarnación García Baños, Á. (2017). Robot’s and human’s self: A computational perspective. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10337 LNCS, pp. 3–9). Springer Verlag. https://doi.org/10.1007/978-3-319-59740-9_1
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