Abstract
Understanding of a visual pattern information is very important in the human information processing.
In this paper, we proposed a pattern processing that relate visual patterns and symbolic knowledge. The system recognized an image by a co-working of the pattern processing and a symbolic processing. The system uses a neural network model of selective attention for the visual pattern recognition and Prolog language system for a symbol information operation.
The selective attention model was used also for a bidirectional transformation mechanism between the pattern and the symbol. This transformation mechanism enabled a reflection of the symbolic inference result to the pattern operation.
