DocumentCode :
2988316
Title :
Semantic Analysis on Knowledge System of Intelligence Science and Technology
Author :
Huang, Yinghui ; Li, Guanyu
Author_Institution :
Inf. Sci. & Technol. Coll., Dalian Maritime Univ., Dalian, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
1868
Lastpage :
1871
Abstract :
This paper starts with expatiating on the semantic meanings of intelligence, science and technology. Firstly explains the connotation of concepts of the human intelligence, the artificial intelligence, the intelligence science and technology. Secondly discusses the construction of the knowledge system of intelligence science and technology. Thirdly analyzes the elements of the human intelligence science, the artificial intelligence science and the artificial intelligence technology. Lastly sets up the knowledge system of intelligence science and technology by integrating these elements. Some interesting research conclusions are obtained, i.e. the intelligence denotes the intelligent ability; the meaning of intelligence is that human or machine are able to cognize the world and understand it; the knowledge system of intelligence science and technology is composed of two kinds of theories and four kinds of technologies which are the brain theory, the machine reasoning theory, the machine perception technology, the knowledge discovery technology, the expert system technology, and the robot technology.
Keywords :
cognition; data mining; expert systems; artificial intelligence; brain theory; expert system; human intelligence; intelligence science and technology; knowledge discovery; knowledge system; machine perception technology; machine reasoning theory; robot technology; semantic analysis; Cognition; Expert systems; Humans; Robots; Semantics; artificial intelligence; human intelligence; intelligence; intelligence science and technology; semantic analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.459
Filename :
5630295
Link To Document :
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