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AN INTRODUCTION TO KNOWLEDGE-GROWING SYSTEM: A NOVEL FIELD IN ARTIFICIAL INTELLIGENCE Sumari, Arwin Datumaya Wahyudi; Ahmad, Adang Suwandi; Wuryandari, Aciek Ida; Sembiring, Jaka; Widjajati, Farida Agustini
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 8, No 2, Juli 2010
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20963.083 KB) | DOI: 10.12962/j24068535.v8i2.a313


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.
SENATIK STT Adisutjipto Vol 3 (2017): Dukungan Teknologi Untuk Pengembangan Industri Dirgantara Indonesia
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (283.771 KB) | DOI: 10.28989/senatik.v3i0.104


Quick-and-accurate decision is a primary requirement for achieving a mission’s successfulness in many organizations whether they are militaries or civilians.  The larger and more complex the scope of a mission the longer the time will be needed to perform decision-making. A complex mission such as retaining a sustainable mission of aircrafts deployed in certain remote bases will require a 24-hour of standby on-site or off-site maintenance teams. The most common problem arisen from humans in such situations is the fatigue that can occur anytime to any of them during a continuing mission and of course, it can affect the continuity of the mission and delay or disappoint the mission achievement. In this paper we address the concept of the utilization of Multiagent Collaborative Computation (MCC) paradigm in supporting the decision-making process in aircrafts maintenance during a sustainable mission in remote bases. The ultimate goal of the MCC-based aircraft maintenance system is comprehensive information regarding the maintenance procedures in order to keep the aircrafts serviceable during the mission implementation. In this paper we also present the technique to obtain the comprehensive information as the basis for decision-making called A3S (Arwin-Adang-Aciek-Sembiring) information-inferencing fusion method
The Utilization of A3S Information-Inferencing Fusion Method for Nation Defense Arwin Datumaya Wahyudi.S; Adang Suwandi Ahmad; Aciek Ida Wuryandari; Jaka Sembiring
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2009
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Decision-making is the most critical phase in Observe, Orient, Decide, and Act (OODA) defense decisioncycle. If the decision made is correct regarding the current situation, then it can minimize the possibility of loss.The contradiction situation will occur if the incorrect decision is made. The correctness of the decision dependsof the quality on information delivered from Orient(ation) phase that will be used as the basis for decisionmaking.Meanwhile, in defense applications the process of decision-making plays a very important roleespecially if the time is the most affecting factor. Such an application is nation defense system in defending ourcountry’s nation sovereignty in air, sea, and land. Therefore, the faster the decision is made, the earlier thesystem can perform anticipations to any nation defense intrusion. For this purpose, in this paper we address theutilization of A3S (Arwin-Adang-Aciek-Sembiring) information-inferencing fusion for accelerating theinformation processing and obtaining good comprehensive information quality that will be used as the basis forstrategic decision-making for nation defense.Keywords: A3S, information-inferencing fusion, nation defense, OODA, strategic decision-making