DocumentCode
3285458
Title
An approach for automatic learning and inference by knowledge map
Author
Hsu, Chang-Kai ; Chang, Jyh-Cheng ; Chang, Maiga ; Jehng, Jihn-Chang ; Heh, Jia-Sheng
Author_Institution
Dept. of Inf. Comput. & Eng., Chung Yuan Christian Univ., Chung-li, Taiwan
fYear
2002
fDate
3-6 Dec. 2002
Firstpage
957
Abstract
Knowledge is represented by graph or map is simpler than represented by proposition logics. Students who use the knowledge representation of knowledge map quickly learn to read a graph as IF-THEN and do all their reasoning directly on the graphs without translating them to rules or propositions. Instead, many graphic notations have been developed. Knowledge Map (KM) is a graphic system of logic that is as general as proposition logics.
Keywords
computer aided instruction; inference mechanisms; knowledge representation; teaching; automatic learning; conceptual graph; inference; knowledge map; knowledge representation; reasoning; Application software; Birds; Computer science education; Graphics; Humans; Knowledge engineering; Knowledge representation; Logic; Physics; Problem-solving;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Education, 2002. Proceedings. International Conference on
Print_ISBN
0-7695-1509-6
Type
conf
DOI
10.1109/CIE.2002.1186124
Filename
1186124
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