Title :
A notion for machine learning: knowledge developability
Author_Institution :
CIS Dept., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
A notion, called knowledge development, for measuring the intelligence of machines is studied in the context of designing a versatile learning system. The notion is used in several ways: (1) it provides a guide to verify the overall intelligence of the expected machine, (2) it is claimed that an intelligently learning system should be able to assess the gain of intelligence level when a piece of knowledge is to be learned, and the notion can be used to address the feasibility of such an assessment and (3) it draws a justifiable boundary between the machine´s responsibility and the user´s responsibility. The base model of a general computing machine used is a Mealy finite state machine.<>
Keywords :
finite automata; knowledge engineering; learning systems; Mealy finite state machine; intelligence; knowledge developability; knowledge development; learning system; machine learning; Arithmetic; Automata; Learning systems; Machine intelligence; Machine learning; Performance analysis;
Conference_Titel :
System Sciences, 1988. Vol.III. Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-First Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI, USA
Print_ISBN :
0-8186-0843-9
DOI :
10.1109/HICSS.1988.11917
