Title :
IFN Application in DFS of Artificial Intelligence
Author_Institution :
Dept. of Comput. Sci. & Eng., Wuyi Univ., Wuyishan
Abstract :
Depth-first searches (DFS) were both traditional & classical blind searching technique in artificial intelligence (AI). Variable carrying numbers (VCN) is a broad concept of numbers in number theory. AI-fuzzy VCN (IFN) is a mixture numbers with different figures´ module (FM) in a same n-figures number. Fixed carrying numbers (FCN) is only ones of special VCN. This paper makes an analyzing & discussing of DFS technology of both FCN and VCN in searching without information, and points out that, merits and demerits of two Numbers on searching without information. And then, it gives a novel IFN method of DFS in problem solving which sometimes we should think simultaneously over the intelligent properties of VCN, and gives out an example of the problem-solving method, i.e. the problem solving such as catching fish with casting a net.
Keywords :
artificial intelligence; fuzzy set theory; number theory; problem solving; tree searching; AI-fuzzy VCN; DFS; artificial intelligence; blind searching technique; depth-first search; fixed carrying numbers; number theory; problem-solving method; variable carrying numbers; Application software; Artificial intelligence; Belts; Computer science; Electronic mail; Information analysis; Information technology; Marine animals; Problem-solving; Video recording; AI-Fuzzy VCN (IFN); Artificial Intelligence (AI); Depth-first Search (DFS); Figures´ Module (FM); Fixed Carrying Numbers (FCN); Variable Carrying Numbers (VCN);
Conference_Titel :
MultiMedia and Information Technology, 2008. MMIT '08. International Conference on
Conference_Location :
Three Gorges
Print_ISBN :
978-0-7695-3556-2
DOI :
10.1109/MMIT.2008.54