An Integrated Artificial Immune Systems Model Based On Ontology

Modelling the immune system plays an important role in the understanding of the computational aspects of the immune system, because most of existing artificial immune system models are designed for a specific application problem and have their advantages and disadvantages. In this paper, an AIS model based on ontology is presented which can integrate several AIS models and algorithms. Secondly, this model has accurate semantic, shared knowledge and understood by computer. With the guidance of AIS ontolgy, more and more effectual AIS models can be created and implement evolution dynamicly.