Title :
Knowledge and machine architectures
Author_Institution :
Dept. of Comput. Sci., Reading Univ., UK
Abstract :
A paradigm is proposed based upon a taxonomy of knowledge; a taxonomy that has been strongly influenced by the need to represent knowledge for machine processing. The importance of such a paradigm is to show an equivalence of activity in all spheres of system design from knowledge systems to machine architectures and thus open up the possibility of cross fertilization of techniques and a redistribution of tasks across fields. Both these possibilities will improve the design of knowledge systems within the framework of a rapidly evolving technology
Keywords :
computer architecture; knowledge based systems; knowledge engineering; knowledge representation; knowledge systems; machine architectures; machine processing; paradigm; taxonomy of knowledge;
Conference_Titel :
Symbols Versus Neurons, IEE Colloquium on
Conference_Location :
London
