Title :
Constructing brain-inspired knowledge-growing system: A review and a design concept
Author :
Sumari, Arwin Datumaya Wahyudi ; Ahmad, Adang Suwandi ; Wuryandari, Aciek Ida ; Sembiring, Jaka
Author_Institution :
Dept. of Electron., Indonesian Air Force Acad., Yogyakarta, Indonesia
Abstract :
Knowledge growing is one of intelligence characteristics possessed by human brain. In this paper we review some theories that are appropriate for emulating this kind of intelligence in order to develop an intelligent system in Artificial Intelligence (AI) field, called brain-inspired Knowledge-Growing System (KGS). Based on the review results, we have built a design concept of this system along with its mechanism for growing the knowledge called Observation Multi-time Arwin-Adang-Aciek-Sembiring (OMA3S) information-inferencing fusion method.
Keywords :
artificial intelligence; inference mechanisms; sensor fusion; artificial intelligence field; brain inspired knowledge growing system; human brain; information inferencing fusion method; intelligence characteristics; intelligent system; observation multitime Arwin-Adang-Aciek-Sembiring method; Brain models; Computational modeling; Humans; Learning systems; Mathematical model; Artificial Intelligence; OMA3S; brain-inspired KGS; intelligent system; knowledge growing;
Conference_Titel :
Distributed Framework and Applications (DFmA), 2010 International Conference on
Conference_Location :
Yogyakarta
Print_ISBN :
978-1-4244-9335-7
