In: Proceedings of the I National Conference on neural networks and applications, Kule, April 1994, pp. 17-28
The ultimate goal of cognitive sciences is to understand how the mind works
and the ultimate goal of neural modeling is to build the artificial mind.
Short summary of the state of art in this field is given. The
symbolic/neural points of view are complementary rather than exclusive. The
Floating Gaussian Model (FGM) introduced in this paper facilitates both
neural and symbolic interpretations: supervised and unsupervised learning
and self-organization of knowledge on the neural side, direct modeling of
conceptual space, learning from general laws and retrieval of facts via
searching procedures on the symbolic side.
Paper in PDF format, 70 KB
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