Figure 2 : Human information-inferencing fusion system [5]
On the first process, information delivered from the sensory organs is fused to gain comprehensive information regarding the observed phenomenon. The result of this process is then reasoned to obtain the
inferencing of the fused information. The inferencing at this stage is the inferencing regarding the phenomenon at the first observation or at time t. The next observation at the next subsequent time will
result in inferencing at time t+1 and so on. The comprehensive information after some observation times is obtained by fusing the collection of the information-inferencing over time to become fused
information-inferencing. This comprehensive information is called as new knowledge of the observed phenomenon [6].
2. The Topology of AI
Some literatures on the state-of-the-art of AI approaches have been delivered in [2, 6], but up to now we still have not found any single literature that studies the relation between human intelligence and
information fusion. Therefore, the challenge in emulation the KG mechanism in human brain is what is the most appropriate approach that will be selected for this purpose [6]. Ahmad 2006 in [2] proposed a
topology of AI which consists of three categories, namely smart systems, knowledge-based systems, and computational-based systems. One of subcategories under knowledge-based systems is intelligent
programming which is aimed to emulate the human’s process of thought. In this approach, the knowledge acquisition is done by means of thinking process which is formulated in form of algorithms and
implemented on computer software. The Ahmad’s topology of AI is depicted in Figure 3.
Figure 3 : Topology of AI proposed by Ahmad [2, 6]
THE DEVELOPMENT OF KNOWLEDGE-GROWING SYSTEM
In developing the KGS, the first thing that has to be carried out is to model the human brain’s KG mechanism which consists of three consecutive processes has been previously explained in brief.
1. The Concept of Knowledge-Growing System
As the emulation of one aspects of human intelligence, KGS tries to mimic the process of human brain’s KG mechanism in obtaining new knowledge from time to time and uses the acquired knowledge
to make a decision or an action. Imagine that we do not have any knowledge about a phenomenon. At this point, assume at t
, our knowledge has no information about it. At the subsequent times, we try to know it by utilizing our sensory organs – eyes, ears, nose, tongue, and skin.
Figure 4 : The model of KGS, adapted from [1, 2, 6]
