Generalized causal inductive reasoning model based on generalized causal cellular automata

被引：0

作者：

Yang, BR ^{[1
]}

Li, X ^{[1
]}

Song, W ^{[1
]}

机构：

[1] Univ Sci & Technol Beijing, Sch Informat Engn, Beijing 100083, Peoples R China

来源：

PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3 | 2005年

关键词：

language field theory; generalized cellular automata; generalized inductive logic causal model;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Based on cellular automata theory, inductive logic causal model is proposed. Then the generalized causal cellular automata, which can deal with both random uncertainty and fuzzy uncertainty, is proposed by integrating the inductive logic causal model and language field theory. Based on the generalized causal cellular automata, the generalized causal inductive reasoning model is presented. Comparisons with ordinary fuzzy reasoning are listed. Finally, the applications of proposed methods are discussed in brief.

引用

页码：375 / 378

页数：4

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