Biologically Motivated Approaches for Complex Problem Solving - Proceedings of All India Seminar on Biomedical Engineering 2012 (AISOBE-2012) - page 194

Biologically Motivated Approaches
for Complex Problem Solving

Sushil Kumar, Praneet Saurabh and Bhupendra Verma

Abstract Danger Theory is presented with particular predominance on analogies
in the Artificial Immune Systems world. Artificial Immune System (AIS) is rel-
atively naive paradigm for intelligent computations. The inspiration for AIS is
derived from natural Immune System (IS). The idea is that the artificial cells
release signals describing their status, e.g., safe signals and danger signals. The
various artificial cells use the signals in order to adapt their behavior. This new
theory suggests that the immune system reacts to threats based on the correlation
of various (danger) signals and it provides a method of 'grounding' the immune
response, i.e., linking it directly to the attacker. In this paper, we look at Danger
Theory from the perspective of AIS practitioners and an overview of the Danger
Theory is presented with particular emphasis on analogies in the Artificial Immune
Systems world.

Keywords Artificial immune system Danger theory System cells

Introduction

Over the last decade, a new theory has become popular amongst immunologists.
It is called the Danger Theory, and its chief advocate is Matzinger [ 1 - 3 ]. A variety
of

contextual clues may be essential for a meaningful danger signal, and

S. Kumar ( & ) P. Saurabh B. Verma
Department of CSE, TIT, Bhopal, India
e-mail: [e-mail]
P. Saurabh
e-mail: [e-mail]
B. Verma
e-mail: [e-mail]