Prof. Dr. Adang Suwandi Ahmad : Knowledge Growing System, Innovation in Cognitive Artifical Intelligence
Unlike others, Prof.Dr.Adang Suwandi, the Leader of Electronic Discipline Research Division of School of Electrical Engineering and Informatics in Bandung Institute of Technology (STEI ITB) and former Dean of STEI ITB in 2008-2012, has stated that he disagrees with term of 'artificial intelligence'. It is because human does not have an ability to create intelligence, but instead can only imitate intelligence. That is the reason why the term of "imitative intelligence" is more appropriate than the term "artificial intelligence".
Human intelligence is a consciousness, a mental process where knowledge is being achieved, so it requires a cognitive model. Cognitive model aimed to model way of how human thinks, like studying and solving a problem that leads to cognitive science and technique. The purpose of cognitive science is to develop computer modelling in understanding the way of how human thinks, while technique aimed in exploring the computer modelling and also as the multi-agent control from human's psychology. Due to that, integrating Artificial Intelligence cognitive model known as Cognitive artificial intelligence.
Knowledge-Growing System : An innovation in AI's field
Cognitive Artificial Intelligence (CAI) has the ability to create a machine that is able to not only keep information accumulated in it, but also keep this information developed just like a human mind developing from a child to become an adult. If it learns a new thing, old memories will not be erased, but will still be kept and have its knowledge enriched instead. In other word, it will be more sensitive to its surroundings, be able to analyze and make decision from the accumulated decision, then execute an action based on this information.
The process of how knowledge could make human smarter or understand a phenomenon has became an inspiration to Prof. Adang and his team in Cognitive Artificial Intelligent Research Group (CAIRG) STEI ITB. Since 2006, they tried to combine many approaches in artificial intelligence, science and cognitive intelligence for developing a system that looks like human intelligence that can be applied to our world. The ability of human intelligence is fused and applied in a decision making system, called knowledge growing. Knowledge growing with new information can be defined as a knowledge that will fuse with this new information.
Nemberala: Application of Knowledge-Growing System in Hybrid Electric Technology
One of many applications of this smart technology is the Hybrid-electric power generator in Desa Nemberala, Rote Island, east Nusa Tenggara. Since it is built in 2008, this power generator has been able to save the usage of oil as fuel by up to 2.2 million rupiahs. Before Nemberala has this technology, local villagers had a high dependency to diesel fuel as an energy resource to fulfill their daily electrical power needs and other infrastructure. The schedule of using various energy sources to generate power is based on the CAI-based system in analyzing environment condition and also the power generator itself, allowing this power generator to be set up using wind energy, solar energy or fuel (BBM). With this system alternative energy source can be used optimally, therefore minimizing the dependence of fuel (BBM).
"The input Data for solar energy comes from Photovoltaic, while the input for wind power came from wind turbine, and input for oil fuel (Diesel Energy) came from generator, Load Supply, and battery energy capacity. All these information is recorded by data logger," said Prof. Adang, who achieved his professor title in Intelligent Electronics Instrumentation System at 2000.
"From this information, these AI agent does his role. In applying knowledge-growing system from time to time, we can determine when to use solar energy and wind energy, when we use diesel energy or when we use hybrid energy just in second, minutes, hours, day even months so the power energy supply will be optimal. The utility of KGS in biomedical engineering is also used in observing what genetic that can cause disease in human body," explained Prof. Adang.
Indonesian should be able to do it
According to Prof. Adang, engineering in Indonesia has yet to give maximum contribution in inventing any innovative products despite it being the obligation of engineers and not only knowing engineering without its application. Indonesia's market's tendency to import finished products from foreign country seems to demonstrate its lack of readiness toward local products. As an example, many companies refuse to take part in testing the CAI product due to its disbelief and tendency to use proven foreign similar products.
Fulfillment of Indonesia's need in technology by its own industry should be able to improve its economic condition. Prof. Adang also stated that the local policy should be able to support the local industry. "There should be a policy from our government that focus in building local industry to fulfill our needs," stated Prof. Adang firmly.
Translated by : Sarah Azzahwa (Fisika 2012)
ITB Journalist Apprentice 2015