Applications of Artificial Immune Systems in Agents

View Sample PDF

Author(s): 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
Source title: Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies
Source Author(s)/Editor(s): Hongwei Mo (Harbin Engineering University, China)
DOI: 10.4018/978-1-60566-310-4.ch005

Keywords: Biologically-Inspired Computing / Medical Information Science Reference / Medical Technologies / Medicine & Healthcare

Purchase

View Applications of Artificial Immune Systems in Agents on the publisher's website for pricing and purchasing information.

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.

The IRMA Community

Research IRM

Applications of Artificial Immune Systems in Agents

Purchase

Abstract

Related Content

IRMA Sponsors