论文部分内容阅读
To solve the Imperfect Theory Problem(ITP)faced by Explanation Based Generalization(EBG),this paper proposes a methodology,Deep Knowledge Based Learning Methodology(DKBLM)by name,and gives an implementstion of DKBLM,called Hierarchically Distributed Learning System(HDLS).Asan example of HDLS’s application,this paper shows a learning system(MLS)in meteorology domainand its running with a simplified example.DKBLM can acquire experiential knowledge with causality in it.it is applicable to those kinds ofdomains,in which experiments are relatively difficult to carry out,and in which there exist manyavailable knowledge systems at different levels for the same domain(such as weather forecasting).
To solve the Imperfect Theory Problem (ITP) faced by Problem Based Generalization (EBG), this paper proposes a methodology, Deep Knowledge Based Learning Methodology (DKBLM) by name, and gives an implements of DKBLM, called Hierarchically Distributed Learning System (HDLS) .Asan example of HDLS’s application, this paper shows a learning system (MLS) in meteorology domainand its running with a simplified example. DKBLM can acquire experiential knowledge with causality in it.it is applicable to those kinds ofdomains, in which experiments were nearly difficult to carry out, and in there there many many knowledge knowledge systems at different levels for the same domain (such as weather forecasting).