ANDRADE, P. S.; ANDRADE, Patrícia Santos.
Resumen:
The symbolist and connexionist approaches are utilized to guide the development of smart
systems. Each approach has its advantages and its disavantages. Many a time, the disavantages
of an approach are counterbalanced by the unification along with the advantages of the other
approach. This is the main goal of the Neurosymbolic Hybrid Systems. This work presents
SISNES as an implemented neurosymbolic hybrid system according to the subprocessing
architecture. The symbolist and connexionist approaches in this system, are integrated so that
an approach leads the main steps to the resolution of the problem while the other approach is
subordinated to this very control. Fuzzy Logic is also used in this system, to processing data
that are considered uncertain. SISNES combines great capability of explanation of the
Symbolist Specialist Systems with the stoutness of the Neural Networks and with the
ambiguous capability of representation of FuzzyXogic. Concepts, architectures, classification
and examples of the neurosymbolic hybrid systems are presented. Experimental results, from
SISNES accomplishment on building automation scope, are finally presented.
