Title :
A System of Systems approach to model an Artificial Immune System using Discrete Event Specification
Author :
Bowen, Ryan ; Sahin, Ferat
Author_Institution :
Dept. of Comput. Eng., Rochester Inst. of Technol., Rochester, NY, USA
Abstract :
An artificial immune system (AIS) is a biological inspiration of the human immune system and continues to emerge as a technique for a wide area of applications. This paper presents a model of AIS as it applies to a multi-agent formation problem, similar to predator and prey scenario. Successful multi-agent formations are discovered in conjunction with the artificial immune system´s agents and their behaviors. The hierarchy of agents within the artificial immune system support; a system of systems (SoS) based development strategy. The AIS SoS model is implemented based on discrete event specification (DEVS) and simulated using the DEVSJAVA software framework. The resulting model and simulation demonstrates successfully created multi-agent formations of predator around a single prey.
Keywords :
artificial immune systems; discrete event simulation; multi-agent systems; predator-prey systems; AIS SoS model; DEVSJAVA software framework; artificial immune system; discrete event specification; human immune system biological inspiration; multi-agent formation problem; predator-prey scenario; Algorithm design and analysis; Artificial immune systems; Asynchronous communication; Biological system modeling; Cells (biology); Computational modeling; Discrete event simulation; Immune system; Measurement; XML; AIS; Artificial Immune System; DEVS; DEVSJAVA; Discrete Event Simulation; System of Systems;
Conference_Titel :
System of Systems Engineering, 2009. SoSE 2009. IEEE International Conference on
Print_ISBN :
978-1-4244-4766-4
Electronic_ISBN :
978-1-4244-4767-1
