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Jurnal SINTA 2

AN INTRODUCTION TO KNOWLEDGE-GROWING SYSTEM: A NOVEL FIELD IN ARTIFICIAL INTELLIGENCE

JUTI: Jurnal Ilmiah Teknologi Informasi · Vol. 8 No. 2 (2010) · pp. 11–20

DOI
10.12962/j24068535.v8i2.a313
ISSN
2406-8535, 1412-6389
Published
2010-07-01
Publisher
Institut Teknologi Sepuluh Nopember
Language
eng

Abstract

The essential matter of Artificial Intelligence (AI) is how to build an entity that mimics human intelligence in the way of learning of a phenomenon in a real life to gain knowledge of it and uses the knowledge to solve problems related to it. Based on the findings of intelligenct characteristic displayed by the human brain in growing and generating new knowledge by fusing information perceived by sensory organs, we develop brain-inspired Knowledge-Growing System (KGS) that is, a system that is capable of growing its knowledge along with the accretion of information as the time passes. The essential matter of KGS is knowledge-growing method which is based on a new algorithm called Observation Multi-time A3S (OMA3S) information-inferencing fusion method. In this paper we deliver the development of KGS along with some examples of KGS application to a real-life problem. Based on the state-of-the-art of AI and approaches to construct OMA3S method as KG method as well as validations to assess the system performance, we state that brain-inspired KGS is a novel field in AI.

Collaboration network of the authors

11 authors · 19 co-authorship links · 5 across different organisations

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  • Politeknik Negeri Malang
  • Akademi Angkatan Udara
  • Bandung Institute of Technology
  • Institut Teknologi Sepuluh Nopember
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Cahya RahmadPoliteknik Negeri Malang1
Ahmad Alfian AlfianPoliteknik Negeri Malang1
Mustika MentariInstitut Teknologi Sepuluh Nopember1
Muhammad Rifky SyahbanaPoliteknik Negeri Malang1
Arie Rachmad SyulistyoPoliteknik Negeri Malang1
Putri Indah MawarniPoliteknik Negeri Malang1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://juti.if.its.ac.id/index.php/juti/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">AN INTRODUCTION TO KNOWLEDGE-GROWING SYSTEM: A NOVEL FIELD IN ARTIFICIAL INTELLIGENCE</dc:title>
	<dc:creator xml:lang="en">Sumari, Arwin Datumaya Wahyudi</dc:creator>
	<dc:creator xml:lang="en">Ahmad, Adang Suwandi</dc:creator>
	<dc:creator xml:lang="en">Wuryandari, Aciek Ida</dc:creator>
	<dc:creator xml:lang="en">Sembiring, Jaka</dc:creator>
	<dc:creator xml:lang="en">Widjajati, Farida Agustini</dc:creator>
	<dc:description xml:lang="en">The essential matter of Artificial Intelligence (AI) is how to build an entity that mimics human intelligence in the way of learning of a phenomenon in a real life to gain knowledge of it and uses the knowledge to solve problems related to it. Based on the findings of intelligenct characteristic displayed by the human brain in growing and generating new knowledge by fusing information perceived by sensory organs, we develop brain-inspired Knowledge-Growing System (KGS) that is, a system that is capable of growing its knowledge along with the accretion of information as the time passes. The essential matter of KGS is knowledge-growing method which is based on a new algorithm called Observation Multi-time A3S (OMA3S) information-inferencing fusion method. In this paper we deliver the development of KGS along with some examples of KGS application to a real-life problem. Based on the state-of-the-art of AI and approaches to construct OMA3S method as KG method as well as validations to assess the system performance, we state that brain-inspired KGS is a novel field in AI.</dc:description>
	<dc:publisher xml:lang="en">Institut Teknologi Sepuluh Nopember</dc:publisher>
	<dc:date>2010-07-01</dc:date>
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	<dc:identifier>https://juti.if.its.ac.id/index.php/juti/article/view/313</dc:identifier>
	<dc:identifier>10.12962/j24068535.v8i2.a313</dc:identifier>
	<dc:source xml:lang="en">JUTI: Jurnal Ilmiah Teknologi Informasi; Vol 8, No 2, Juli 2010; 11-20</dc:source>
	<dc:source>2406-8535</dc:source>
	<dc:source>1412-6389</dc:source>
	<dc:source>10.12962/j24068535.v8i2</dc:source>
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