Cognitive artificial intelligence: Brain-inspired intelligent computation in artificial intelligence

Abstract

Computation occurred within human brain is very much awesome and is not possible to be emulated 100% exactly in Artificial Intelligence (AI) method-based machines. What scientists did and have been done so far up to now are to try to model it as close as to what exactly occurs within the brain. Human brain has an awesome mechanism in performing computation with the end result is new knowledge and human uses the knowledge to actuate his organs. In this paper we will show a new approach for emulating the computation occured within human brain to obtain new knowledge based on the inputs sensed by the system's sensory system taken from the environment. When this process is carried out recursively, the system's knowledge becomes newer and newer, and it is called as knowledge growing. This approach is designed for an agent that has ability to think and act rationally like human. Our cognitive modelling approach is resulted in a model of human information processing and a technique to obtain the most maximum performance should be taken by the cognitive agent. This method is called as A3S (Arwin-Adang-Aciek-Sembiring), the agent is called as Knowledge-Growing System (KGS) and this brain-inspired method opens a new perspective in AI that we call as Cognitive Artificial Intelligence (CAI).