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