Arwin Datumaya Wahyudi Sumari, Ika Noer Syamsiana
Knowledge Growing System (KGS) since its introduction in 2009, has been stated as the foundation of Cognitive Artificial Intelligence (CAI). Because of its computation mechanism simplicity and it does not burden the computation resources, various use-cases have applied KGS to solve their problems. The KGS development was inspired by the growing of knowledge within human brain when thinking during carrying out interactions to a phenomenon in its environment. KGS learns to the data received at that time and at the next series of time that are sensed and perceived by its sensory organs, and uses them to generate knowledge. By combining approaches and techniques from cognitive psychology, mathematics, social science, and AI fields, we created simple mathematics formulas called ASSA2010 (Arwin Sumari-Suwandi Ahmad year 2010) information-inferencing fusion method for KGS' knowledge growing mechanism. In this article, we deliver a simple introduction to KGS and also some of its utilizations for humankind. © 2021 IEEE.
Cognitive Artificial Intelligence Research Group (CAIRG), Department of Electrical Engineering Politeknik Negeri Malang, Malang, Indonesia; Abdulrachman Saleh AFB, 2nd Operation Command, Indonesian Air Force, Indonesia