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