Synergetic effect by deep fusion of computational and symbolic processing

Abstract

The computational processing methods appeared to overcome the drawbacks of the symbolic processing method. Recently the serious limitations of the computational processing methods have been found through the development of the highly intelligent user interface systems. The simple solutions to the limitations are the return to the symbolism or the use of the hierarchical system architecture. However it is indispensable deeply to combine the symbolic and computational processing in order to realize the highly intelligent system. The leading attempts toward the combination of computational and symbolic processing are overviewed. The level of the combination is not deep, high and wide enough. Our approach based on the emergent recurrent neural network and the language processing toward the deep fusion of symbolic and computational processing is proposed. In this new architecture, the symbolic processing and the computational processing should affect each other at anytime, at anywhere and at any abstract level.