Bio-inspired computing is the idea to emulate and to get inspirations from biological systems which is then used to solve complex problems. Artificial immune systems, as one of the bio-inspired computing has contributed in solving complex problems. From one generation to another generation, AIS's practitioners realize that to get better algorithms we need the inspiration with the better understanding about the behavior of the immune system. Modeling is the key to get better understanding and inspiration from immune system. Agent-based modeling can be used because of the components of the immune system can be described as agents that interact with each other and set up a system behavior. There are two approaches to agent-based modeling, i.e. modeling of the immune system itself and model the artificial immune system. In this paper we design a model for immune system using agent-based approach. This model specifically based on clonal selection and its behavior. The design of model are using UML diagram to describe the behavior and the interaction of agents. This design can be used for simulating existing artificial immune system models, developing new artificial immune system models, or evaluating artificial immune system models that have been already adapted to technical problems.
[1]
F. Glover,et al.
Handbook of Metaheuristics
,
2019,
International Series in Operations Research & Management Science.
[2]
Doron Levy,et al.
Modeling and simulation of the immune system as a self-regulating network.
,
2009,
Methods in enzymology.
[3]
Michael J. North,et al.
Tutorial on Agent-Based Modeling and Simulation PART 2: How to Model with Agents
,
2006,
Proceedings of the 2006 Winter Simulation Conference.
[4]
Michael J. North,et al.
Agent-based modeling and simulation
,
2009,
Proceedings of the 2009 Winter Simulation Conference (WSC).
[5]
G. An,et al.
The Basic Immune Simulator: An agent-based model to study the interactions between innate and adaptive immunity
,
2007,
Theoretical Biology and Medical Modelling.
[6]
Stephanie Forrest,et al.
Computer immunology
,
1997,
CACM.
[7]
Franz-Josef Rammig,et al.
Agent-Based Modeling and Simulation of Artificial Immune Systems
,
2012,
2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops.