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Using unified modeling language to model the immune system in object oriented perspective | IEEE Conference Publication | IEEE Xplore

Using unified modeling language to model the immune system in object oriented perspective


Abstract:

Artificial Immune System (AIS) has become known as an area of computer science and engineering that uses immune system's metaphors to solve problems with a novel solution...Show More

Abstract:

Artificial Immune System (AIS) has become known as an area of computer science and engineering that uses immune system's metaphors to solve problems with a novel solution. The immune system has an interesting area for computer scientists with its uniqueness and fascinating computational system that has evolved to solve a unique problem. A deeper understanding of the immune system, in part through the use of modeling techniques, which will lead to the development of richer, more effective immune inspired engineered systems. It can suggest new solutions to computer science problems, or at least give us new ways of looking at these problems. This paper shows that bio-systems like immune system can be modeled using the object oriented perspective. We use Unified Modeling Language to represent the behavior of immune system and the interaction between immune system elements. The introduction motivates the need of immune system modeling at different levels of abstraction. Then the UML diagrams are used to illustrate the static and the dynamic behavior of immune system. There are an examples model for elementary clonal selection that involved B-cell, antibodies, and antigen correspondences. Since there are 14 (fourteen) diagrams of UML, this paper uses some of the diagrams. There are the use-case diagram to show functionality of immune system, activity diagrams to show the global abstractions of system and the class diagram to show the structure of immune system elements. At the conclusion, we can see that OO perspectives are promising the better understanding for complex bio-systems such as immune system. This is lead to get the better bio-inspired computation solutions to solve computer science problems.
Date of Conference: 30 May 2012 - 01 June 2012
Date Added to IEEE Xplore: 09 August 2012
ISBN Information:
Conference Location: Bangkok, Thailand

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