Title :
Hybrid cognitive model of conscious level processing and unconscious level processing
Author_Institution :
Matsushita Res. Inst. Tokyo, Inc., Kawasaki, Japan
Abstract :
Human intelligence has been modeled in two ways: modeling based on central symbolic processing, and modeling based on distributed subsymbolic processing. This paper points out the limitations of these two approaches, and proposes a hybrid cognitive model of central symbolic processing on the conscious level, and distributed subsymbolic processing on the unconscious level (C/U model). The advantages of the C/U model are clarified by explaining various functions realized by the model: multistage knowledge retrieval, recognition and inference with situated knowledge, inductive learning, and creative inference. Those functions are realized by utilizing the close interaction between the two levels. Finally, this paper describes an implementation method that utilizes the characteristics of a parallel logic programming language, and also describes a knowledge acquisition system necessary for building practical hybrid systems
Keywords :
artificial intelligence; cognitive systems; inference mechanisms; symbol manipulation; central symbolic processing; conscious level processing; creative inference; distributed subsymbolic processing; human intelligence modeling; hybrid cognitive model; inductive learning; inference; knowledge acquisition system; multistage knowledge retrieval; parallel logic programming language; recognition; unconscious level processing; Artificial intelligence; Buildings; Distributed control; Humans; Intelligent networks; Intelligent structures; Knowledge acquisition; Law; Legal factors; Logic programming;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170448