Abstract
In this work we present an environment, NETTOOL, for the development of hybrid connectionist symbolic systems, in which the connectionist representation is based on the same knowledge representation model as that of symbolic systems. The hybridation between the knowledge elements is local, the connectionist training algorithm is also localized in each element of the network so that the knowledge required for the learning process is a part of it. There is also the possibility of including capabilities for inferential level processing in the elements of the network.
Cite
CITATION STYLE
Santos, J., Otero, R. P., & Mira, J. (1995). NETTOOL: A hybrid connectionist-symbolic development environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 930, pp. 658–665). Springer Verlag. https://doi.org/10.1007/3-540-59497-3_235
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