The premise of immune network theory is that any lymphocyte receptor within an organism can be recognized by a subset of the total receptor repertoire. The receptors of this recognizing set have their own recognizing set and so on, thus an immune network of interactions is formed. Immune networks are often referred to as idiotypic networks. In the absence of foreign antigen, Jerne concluded that the immune system must display a behavior or activity resulting from interactions with itself and from these interactions immunological behavior such as tolerance and memory emerge
Published in Chapter:
Applications of Artificial Immune Systems in Agents
Luis Fernando Niño Vasquez (National University of Colombia, Colombia), Fredy Fernando Muñoz Mopan (National University of Colombia, Colombia), Camilo Eduardo Prieto Salazar (National University of Colombia, Colombia), and José Guillermo Guarnizo Marín (National University of Colombia, Colombia)
Copyright: © 2009
|Pages: 24
DOI: 10.4018/978-1-60566-310-4.ch005
Abstract
Artificial Immune Systems (AIS) have been widely used in different fields such as robotics, computer science, and multi-agent systems with high efficacy. This is a survey chapter within which single and multi-agent systems inspired by immunology concepts are presented and analyzed. Most of the work is usually based on the adaptive immune response characteristics, such as clonal selection, idiotypic networks, and negative selection. However, the innate immune response has been neglected and there is not much work where innate metaphors are used as inspiration source to develop robotic systems. Therefore, a work that involves some interesting features of the innate and adaptive immune responses in a cognitive model for object transportation is presented at the end of this chapter.