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

fYear

2010

fDate

2-3 Aug. 2010

Firstpage

1

Lastpage

7

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Distributed Framework and Applications (DFmA), 2010 International Conference on

Conference_Location

Yogyakarta

Print_ISBN

978-1-4244-9335-7

Type

conf

Filename

5952331