Abstract
After a summary of AI development, from its neurocybernetic origins to present paradigms, we establish the distinction between the description-based “top-down” approach and the mechanism-based “bottom-up” approach. Then we analyze the different types of neural circuits that repeatedly appear in the sensory, motor and association regions of the nervous system. Finally, we propose an abstraction process that allows us to interpret the functions of these circuits at knowledge level.
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Mira, J.M. (2006). On Some of the Neural Mechanisms Underlying Adaptive Behavior. In: Corchado, E., Yin, H., Botti, V., Fyfe, C. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2006. IDEAL 2006. Lecture Notes in Computer Science, vol 4224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875581_1
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DOI: https://doi.org/10.1007/11875581_1
Publisher Name: Springer, Berlin, Heidelberg
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