Knowledge Discovery in Databases is gaining attention and raising new hopes for traditional Chinese medicine （TCM） researchers. It is a useful tool in understanding and deciphering TCM theories. Aiming for a better ...Knowledge Discovery in Databases is gaining attention and raising new hopes for traditional Chinese medicine （TCM） researchers. It is a useful tool in understanding and deciphering TCM theories. Aiming for a better understanding of Chinese herbal property theory （CHPT）, this paper performed an improved association rule learning to analyze semistructured text in the book entitled Shennong＇s Classic of Materia Medica. The text was firstly annotated and transformed to well-structured multidimensional data. Subsequently, an Apriori algorithm was employed for producing association rules after the sensitivity analysis of parameters. From the confirmed 120 resulting rules that described the intrinsic relationships between herbal property （qi, flavor and their combinations） and herbal efficacy, two novel fundamental principles underlying CHPT were acquired and further elucidated： （1） the many-to-one mapping of herbal efficacy to herbal property; （2） the nonrandom overlap between the related efficacy of qi and flavor. This work provided an innovative knowledge about CHPT, which would be helpful for its modern research.展开更多
Rule learning is an important ability that enables human beings to adapt to nature and develop civilizations.There have been many discussions on the mechanism and characteristics of algebraic rule learning,but there a...Rule learning is an important ability that enables human beings to adapt to nature and develop civilizations.There have been many discussions on the mechanism and characteristics of algebraic rule learning,but there are still controversies due to the lack of theoretical guidance.Based on the dual-process theory,this study discussed the following arguments for algebraic rule learning across human and animal studies:whether algebraic rule learning is simply Type 1 processing,whether algebraic rule learning is a domain-general ability,whether algebraic rule learning is shared by humans and animals,and whether an algebraic rule is learned consciously.Moreover,we propose that algebraic rule learning is possibly a cognitive process that combines both Type 1 and Type 2 processing.Further exploration is required to establish the essence and neural basis of algebraic rule learning.展开更多
文摘Knowledge Discovery in Databases is gaining attention and raising new hopes for traditional Chinese medicine （TCM） researchers. It is a useful tool in understanding and deciphering TCM theories. Aiming for a better understanding of Chinese herbal property theory （CHPT）, this paper performed an improved association rule learning to analyze semistructured text in the book entitled Shennong＇s Classic of Materia Medica. The text was firstly annotated and transformed to well-structured multidimensional data. Subsequently, an Apriori algorithm was employed for producing association rules after the sensitivity analysis of parameters. From the confirmed 120 resulting rules that described the intrinsic relationships between herbal property （qi, flavor and their combinations） and herbal efficacy, two novel fundamental principles underlying CHPT were acquired and further elucidated： （1） the many-to-one mapping of herbal efficacy to herbal property; （2） the nonrandom overlap between the related efficacy of qi and flavor. This work provided an innovative knowledge about CHPT, which would be helpful for its modern research.
文摘Rule learning is an important ability that enables human beings to adapt to nature and develop civilizations.There have been many discussions on the mechanism and characteristics of algebraic rule learning,but there are still controversies due to the lack of theoretical guidance.Based on the dual-process theory,this study discussed the following arguments for algebraic rule learning across human and animal studies:whether algebraic rule learning is simply Type 1 processing,whether algebraic rule learning is a domain-general ability,whether algebraic rule learning is shared by humans and animals,and whether an algebraic rule is learned consciously.Moreover,we propose that algebraic rule learning is possibly a cognitive process that combines both Type 1 and Type 2 processing.Further exploration is required to establish the essence and neural basis of algebraic rule learning.
