Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Connectionist inference models
Neural Networks
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
A connectionist knowledge based system using coarse-coded distributed representations
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Connectionist predicate logic model with parallel execution of rule chains
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
A fault tolerant neuro-fuzzy inference system: using coarse-coded distributed representations
CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Hi-index | 0.00 |
In this paper, we describe a model for reasoning using forward chaining for predicate logic rules and facts with coarse-coded distributed representations for instantiated predicates in a connectionist frame work. Distributed representations are known to give advantages of good generalization, error correction and graceful degradation of performance under noise conditions. The system supports usage of complex rules which involve multiple conjunctions and disjunctions. The system solves the variable binding problem in a new way using coarse-coded distributed representations of instantiated predicates without the need to decode them into localist representations. Its performance with regard to generalization on unseen inputs and its ability to exhibit fault tolerance under noise conditions is studied and has been found to give good results.