Natural Immune system plays a vital role in the survival of the all living being. It provides a mechanism to defend itself from external predates making it consistent systems, capable of adapting itself for survival incase of changes. The human immune system has motivated scientists and engineers for finding powerful information processing algorithms that has solved complex engineering tasks. This paper explores one of the various possibilities for solving problem in a Multiagent scenario wherein multiple robots are deployed to achieve a goal collectively. The final goal is dependent on the performance of individual robot and its survival without having to lose its energy beyond a predetermined threshold value by deploying an evolutionary computational technique otherwise called the artificial immune system that imitates the biological immune system.
Tejbanta Singh Chingtham et. al. / (IJCSE) International Journal on Computer Science and Engineering
Vol. 02, No. 05, 2010, 1813-1818
An Artificial Immune System Model for Multi
Agents Resource Sharing in Distributed
Environments
Tejbanta Singh Chingtham
Dept. of Computer Sc. & Engineering
Sikkim Manipal Institute of Technology,
Majitar, Rangpo, Sikkim 737132 India
G. Sahoo
Dept. of Information Technology
Birla Institute of Technology
Mesra, Ranchi, Jharkand
India
M.K. Ghose
Dept. of Computer Sc. & Engineering
Sikkim Manipal Institute of Technology,
Majitar, Rangpo, Sikkim 737132 India
ABSTRACT
Natural Immune system plays a vital role in the survival of
the all living being. It provides a mechanism to defend itself
from external predates making it consistent systems, capable
of adapting itself for survival incase of changes. The human
immune system has motivated scientists and engineers for
finding powerful information processing algorithms that has
solved complex engineering tasks. This paper explores one of
the various possibilities for solving problem in a Multiagent
scenario wherein multiple robots are deployed to achieve a
goal collectively. The final goal is dependent on the
performance of individual robot and its survival without
having to lose its energy beyond a predetermined threshold
value by deploying an evolutionary computational technique
otherwise called the artificial immune system that imitates the
biological immune system.
Keywords
Multi-Agents, Artificial Immune System, Autonomous
Robots, Distributed Environment, Self-Charging Robots.
- INTRODUCTION
In recent years there has been considerable interest in
exploring and exploiting the potential of biological systems
for applications in computer science and engineering. These
systems are inspired by various aspects of the immune
systems of mammals. Artificial immune system imitates the
natural immune system that has sophisticated methodologies
and capabilities to build computational algorithms that solves
engineering problems efficiently [2]. The main goal of the
human immune system is to protect the internal components
of the human body by fighting against the foreign elements
such as the fungi, virus and bacteria [1]. Moreover, research
into natural immune systems suggests the existence of
learning properties which may be used to advantage in
machine learning systems [5].
Similarly, if there is an environment which is divided into
sub environment then each sub environment is traversed by
a single bot. Every bot is assigned to do a set job in its
environment. Considering an environment being divided into
n sub environment with m Bots, each working on one
environment, the complete environment may be obtained by
summing up all the individual bot and the sub-environment
The objective of this research is to demonstrate the utility of
multi-robot deployed using a unique First Come First Serve
(FCFS) charging where only a single charger is used by
multiple bots in an environment such that none of the bots are
allowed to stop functioning by complete discharge of the
battery power. To achieve this unique goal a new
computational technique called the Artificial Immune System
is applied which presumes the discharge of power of the
battery as an external attack to malign the operation of the
robot in the environment and uses natural immune concepts
to make the robot immune to such failure.
- IMMUNE SYSTEM
The immune system defends the body against harmful
diseases and infections. It is capable of recognizing virtually
any foreign cell or molecule and eliminating it from the body.
To do this, it must perform pattern recognition tasks to
distinguish molecules and cells of the body called “self” from
foreign ones called “non self”. Thus, the problem that the
immune system faces is that of distinguishing self from
dangerous non self [1]. Antibodies which are also referred to
as immunoglobulin are Y-shaped proteins that respond to a
specific type of antigen like bacteria, virus or toxin that
contain a special section at the tip of the two branches of the
Y that is sensitive to a specific antigen and binds to it. When
an antibody binds to a toxin it becomes an antitoxin and
normally disables the chemical action of the toxin [6]. Based
on a study of the human immune system, we have drawn
some properties that can serve as design principles of
artificial immune based multi agent systems. The properties
relevant to the proposed model are discussed below.
Immune memory: It is a result of clonal expansion. Some of
the cloned cells differentiate into memory cells and the rest of
the clones become plasma cells.
Jerne’s idiotopic network deals with the interaction of
antibodies. Jerne’s network is a network of B cells that
communicate the shape of the antigenic epitope amongst
them through idiotopes and paratopes [2].
A huge amount of antibodies can b
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