Generalized Causal Inductive Reasoning Model Based on Generalized Causal Cellular Automata

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.