Artificial Immune Systems

10/26/2009
by   Uwe Aickelin, et al.
0

The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical messengers for communication. There are two major branches of the immune system. The innate immune system is an unchanging mechanism that detects and destroys certain invading organisms, whilst the adaptive immune system responds to previously unknown foreign cells and builds a response to them that can remain in the body over a long period of time. This remarkable information processing biological system has caught the attention of computer science in recent years. A novel computational intelligence technique, inspired by immunology, has emerged, called Artificial Immune Systems. Several concepts from the immune have been extracted and applied for solution to real world science and engineering problems. In this tutorial, we briefly describe the immune system metaphors that are relevant to existing Artificial Immune Systems methods. We will then show illustrative real-world problems suitable for Artificial Immune Systems and give a step-by-step algorithm walkthrough for one such problem. A comparison of the Artificial Immune Systems to other well-known algorithms, areas for future work, tips & tricks and a list of resources will round this tutorial off. It should be noted that as Artificial Immune Systems is still a young and evolving field, there is not yet a fixed algorithm template and hence actual implementations might differ somewhat from time to time and from those examples given here.

READ FULL TEXT
research
08/23/2013

Artificial Immune Systems (INTROS 2)

The biological immune system is a robust, complex, adaptive system that ...
research
10/21/2009

Swarm Intelligence

Biologically inspired computing is an area of computer science which use...
research
07/22/2009

Artificial Dendritic Cells: Multi-faceted Perspectives

Dendritic cells are the crime scene investigators of the human immune sy...
research
09/11/2018

From Natural to Artificial Camouflage: Components and Systems

We identify the components of bio-inspired artificial camouflage systems...
research
12/16/2005

"Going back to our roots": second generation biocomputing

Researchers in the field of biocomputing have, for many years, successfu...
research
03/15/2021

Increased Complexity and Fitness of Artificial Cells that Reproduce Using Spatially Distributed Asynchronous Parallel Processes

Replication time is among the most important components of a bacterial c...
research
11/15/2022

The scaling of goals via homeostasis: an evolutionary simulation, experiment and analysis

All cognitive agents are composite beings. Specifically, complex living ...

Please sign up or login with your details

Forgot password? Click here to reset