Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/64804
Title: Facing combinatory explosion in NAC networks
Author: Pasquier, J.L.
Issue Date: 2004
Abstract: A previous paper introduced a model of architecture called Neuromorphic Autonomous Controller (NAC) conformed by interconnected modules, each one in charge of growing its own network of cells. The integration of all internal structures results from automatic mechanisms which, triggering elementary actions, leads to correlations learning between local states. Though concluding in the viability of this approach, aimed at performing autonomous training, adaptation and control, combinatory explosion was mentioned as the main challenge to face. Focused on reducing this side effect, this paper acquaints with some enhancements to the NAC model, including: improving internal module structure, generating an alternative representation and defining a more accurate cooperation between modules. © Springer-Verlag 2004.
URI: http://hdl.handle.net/20.500.12104/64804
Appears in Collections:Producción científica UdeG (prueba)

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