A Perspective of Applying Autonomia to Content Filtering at Network

In this information burst, the content filtering at network must be of the function of self-discovering, self-thinking and self-making decision. This paper presents an approach by applying autonomia architecture to network text filtering. The practical automatic environment is set up to prove the autonomia concept, and techniques of arithmetic are discussed to enhance the efficiency of filtering. Its potential and scalable performance is demonstrated.