Title :
Knowledge base channels and their implications for expert networks
Author :
Kuncicky, David C.
Author_Institution :
Dept. of Comput. Sci., Florida State Univ., Tallahassee, FL, USA
fDate :
27 Jun-2 Jul 1994
Abstract :
A method is presented for a semantically based partitioning of the paths through an inference network. The members of this partition, called channels of inference, may be incorporated into network algorithms where tractability is a problem. An example is given in which channels are used as building blocks in a genetic learning technique
Keywords :
expert systems; inference mechanisms; expert networks; genetic learning technique; inference network; knowledge base channels; semantically based partitioning; tractability; Computer networks; Computer science; Decision trees; Electronic mail; Expert systems; Genetics; Inference algorithms; Knowledge engineering; Logic; Partitioning algorithms;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374505
