A notion for machine learning: knowledge developability

Author

Chen, Min-Hsuan

Author_Institution

CIS Dept., New Jersey Inst. of Technol., Newark, NJ, USA

Volume

3

fYear

1988

fDate

0-0 1988

Firstpage

274

Lastpage

279

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/HICSS.1988.11917

Filename

11917