The clonal selection theory has been used as inspiration for the development of AIS that perform computational optimization and pattern recognition tasks. In particular, inspiration has been taken from the antigen driven affinity maturation process of B-cells, with its associated hypermutation mechanism. These AIS also often utilize the idea of memory cells to retain good solutions to the problem being solved. Castro and Timmis highlight two important features of affinity maturation in B-cells that can be exploited from the computational viewpoint. The first of these is that the proliferation of B-cells is proportional to the affinity of the antigen that binds it, thus the higher the affinity, the more clones are produced. Secondly, the mutations suffered by the antibody of a B-cell are inversely proportional to the affinity of the antigen it binds. Utilizing these two features, de Castro and Von Zuben developed one of the most popular and widely used clonal selection inspired AIS called CLONAG, which has been used to performed the tasks of pattern matching and multi-modal function optimization
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.