Sciweavers

Share
ESANN
2006

Extended model of conditioned learning within latent inhibition

10 years 4 months ago
Extended model of conditioned learning within latent inhibition
Due to the various and dynamic nature of stimuli, decisions of intelligent agents must rely on the coordination of complex cognitive systems. This paper precisely focusses on a general learning architecture for autonomous agents. It is based on a neural network model that enables the specific behaviours of classical conditioning and a biologically inspired attentional phenomenon called latent inhibition. We propose a neural network implementation of an extended model of classical conditioning and present some results.
Nicolas Gomond, Jean Marc Salotti
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2006
Where ESANN
Authors Nicolas Gomond, Jean Marc Salotti
Comments (0)
books