DocumentCode :
301572
Title :
Endomorphic modeling of intelligent system: intelligent card game player
Author :
Chi, Sung-Do ; Kim, Young-Kwang ; Lee, Ja-ok ; Cho, Tae-ho
Author_Institution :
Dept. of Comput. Eng., Korea Hankong Univ., Seoul, South Korea
Volume :
3
fYear :
1995
fDate :
22-25 Oct 1995
Firstpage :
2227
Abstract :
This paper presents an endomorphic modeling methodology for designing intelligent systems. An intelligent system can determine by itself using its knowledge of the world and adapt itself to continuously changing circumstances. We have developed an intelligent endomorphic system by integrating the decision making component and knowledge based internal model with the internal model construction model. Learning capabilities are established using the inductive reasoning and adaptive expert system techniques. The proposed methodology has been successfully applied to the design of an intelligent card game player capable of supporting the intelligent learning and decision making
Keywords :
adaptive systems; artificial intelligence; games of skill; knowledge based systems; learning by example; learning systems; model-based reasoning; adaptive expert system; decision making component; endomorphic modeling; inductive reasoning; intelligent card game player; intelligent learning; intelligent system; internal model construction model; knowledge based internal model; Adaptive systems; Artificial intelligence; Computer science; Decision making; Design engineering; Design methodology; Expert systems; Game theory; Intelligent structures; Intelligent systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
Type :
conf
DOI :
10.1109/ICSMC.1995.538112
Filename :
538112
Link To Document :
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