DocumentCode :
2896453
Title :
KIDS: Knowledge Intuitive Description System for Mini-Shogi
Author :
Ito, Takeshi
Author_Institution :
Dept. of Comput. Sci., Univ. of Electro-Commun., Tokyo, Japan
fYear :
2011
fDate :
11-13 Nov. 2011
Firstpage :
249
Lastpage :
253
Abstract :
This paper proposed a new system (KIDS) for extracting the knowledge of a player. This system consists of two parts. The first part is knowledge description system which enables description of intuitive players´ knowledge. The second part is knowledge reflection system which reflects correctly the described knowledge. We implemented the KIDS in Mini-Shogi and the subjects played the games by using the KIDS. It turned out that the subjects´ knowledge can be extracted well. This KIDS makes it possible to extract a experts´ knowledge well. Furthermore, not only learners´ meta-cognition is promoted by using this system but the effect as learning support is also expected.
Keywords :
behavioural sciences computing; cognition; knowledge acquisition; learning (artificial intelligence); Mini-Shogi; expert knowledge extraction; intuitive player knowledge description; knowledge intuitive description system; knowledge reflection system; learning support; meta-cognition; subject knowledge extraction; Artificial intelligence; expert; extracting knowledge; knowledge based system; meta-cognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies and Applications of Artificial Intelligence (TAAI), 2011 International Conference on
Conference_Location :
Chung-Li
Print_ISBN :
978-1-4577-2174-8
Type :
conf
DOI :
10.1109/TAAI.2011.51
Filename :
6120753
Link To Document :
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