Title :
FuzzyProp: a symbolic superstrate for connectionist models
Author_Institution :
Dept. of Psychol., Wisconsin Univ., Madison, WI, USA
Abstract :
A fuzzy propositional model of categorization and pattern identification is described and then shown to be isomorphic to a nonrecurrent, semilinear connectionist system under certain common conditions. This model may be considered to be a symbolic-level description of such a connectionist system. It is argued that connectionist models need this sort of associated symbolic interpretation for both theoretical and practical reasons.<>
Keywords :
artificial intelligence; fuzzy set theory; pattern recognition; FuzzyProp; artificial intelligence; associated symbolic interpretation; connectionist models; fuzzy propositional model; pattern identification; symbolic superstrate; symbolic-level description; Artificial intelligence; Fuzzy sets; Pattern recognition;
Conference_Titel :
Neural Networks, 1988., IEEE International Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/ICNN.1988.23860
