Thomas Knight

TL;DR: This survey explores the salient features of the immune system that are inspiring computer scientists and engineers to build Artificial Immune Systems (AIS), and an extensive survey of applications is presented, ranging from network security to optimisation and machine learning.

TL;DR: This chapter describes the physiology of the immune system and provides a general introduction to Artificial Immune Systems, and concludes with an evaluation of the current and future contributions of Artificial Immunes Systems in Data Mining.

TL;DR: A multi-layered approach has been devised that incorporates interactions between free-antibodies, b-cells, and memory cells using clonal-selection processes as the core element of the algorithm.

TL;DR: In this article, the authors present an assessment of the resource limited artificial immune system known as AINE, which is a continuation of previous work to develop an artificial immune systems for data analysis.

TL;DR: It can be concluded that AINE no longer shows the possibility of continual learning, but exhibits characteristics of optimisation, which are identified for future study.