DocumentCode :
2230030
Title :
Adaptation, learning and evolution
Author :
Fukuda, Toshio ; Kubota, Naoyuki
Author_Institution :
Center for Cooperative Res. in Adv., Sci. & Technol., Nagoya Univ., Japan
Volume :
1
fYear :
1998
fDate :
21-23 Apr 1998
Firstpage :
13
Abstract :
Intelligent systems are required in knowledge engineering, computer science, mechatronics and robotics. This paper discusses the machine (system) intelligence from the viewpoints of adaptation, learning and evolution of living things. Next, this paper introduces computational intelligence including neural network, fuzzy system, and genetic algorithm. Finally, this paper discusses structured intelligence integrating intuitive and logical inferences, planning, and learning
Keywords :
adaptive systems; evolutionary computation; knowledge based systems; knowledge engineering; learning (artificial intelligence); IKBS; adaptation; computational intelligence; computer science; evolution; fuzzy system; genetic algorithm; intelligent systems; intuitive inferences; knowledge engineering; learning; logical inferences; machine intelligence; mechatronics; neural network; planning; robotics; structured intelligence; system intelligence; Competitive intelligence; Computational intelligence; Computer science; Intelligent robots; Intelligent systems; Knowledge engineering; Learning systems; Machine learning; Mechatronics; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-4316-6
Type :
conf
DOI :
10.1109/KES.1998.725823
Filename :
725823
Link To Document :
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