NOTION FOR MACHINE LEARNING: KNOWLEDGE DEVELOPABILITY.
Document Type
Conference Proceeding
Publication Date
1-1-1988
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.
Identifier
0023847595 (Scopus)
ISBN
[0818608439]
Publication Title
Proceedings of the Hawaii International Conference on System Science
ISSN
00731129
First Page
274
Last Page
279
Recommended Citation
Chen, Min Hsuan, "NOTION FOR MACHINE LEARNING: KNOWLEDGE DEVELOPABILITY." (1988). Faculty Publications. 20872.
https://digitalcommons.njit.edu/fac_pubs/20872
