DocumentCode :
527640
Title :
Research of knowledge evolution system on simulation of human scientific knowledge
Author :
Li Xue ; Cui Duwu ; Chen Hao ; Tao, YongQin
Author_Institution :
Sch. of Comput., Sci. & Eng., Xi´´an Univ. of Technol., Xi´´an, China
Volume :
5
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
2455
Lastpage :
2461
Abstract :
Knowledge is the unique matter for human, and the evolution of human knowledge is the actual reflection of objective world. The knowledge evolution theory studied by the scientific philosopher has made a macroscopic description for knowledge evolution, which enjoys the identical part of the theory of evolution from Darwinian, and also has the difference. Based on the thoughts of knowledge evolution, the paper establishes the model for knowledge evolution system, and illustrates the process and evaluation function of evolution algorithm. It mainly divides the operators of knowledge evolution into inheritance operator, innovation operator and inspection operator. Finally, it sets some examples to demonstrate that the knowledge evolution algorithm is a new type differing from the theory of evolution used for knowledge discovering and perfection.
Keywords :
biocomputing; evolutionary computation; biologic evolution; evaluation function; evolution algorithm; human scientific knowledge simulation; inheritance operator; innovation operator; inspection operator; knowledge discovery; knowledge evolution system; knowledge evolution theory; Biological information theory; Evolution (biology); Humans; Inspection; Knowledge based systems; Technological innovation; Biological evolution; innovation operator; inspection operator; knowledge evolution algorithm; knowledge evolution system; nheritance operator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583492
Filename :
5583492
Link To Document :
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