6 papers
Detecting Danger: The Dendritic Cell Algorithm
Julie Greensmith, Uwe Aickelin, Steve Cayzer
The Dendritic Cell Algorithm (DCA) is inspired by the function of the dendritic cells of the human immune system. In nature, dendritic cells are the intrusion detection agents of t…
Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomoly Detection
Julie Greensmith, Uwe Aickelin, Steve Cayzer
Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system. Research into this family of cells has revealed that they perf…
A Recommender System based on the Immune Network
Steve Cazyer, Uwe Aickelin
The immune system is a complex biological system with a highly distributed, adaptive and self-organising nature. This paper presents an artificial immune system (AIS) that exploits…
A Recommender System based on Idiotypic Artificial Immune Networks
Steve Cayzer, Uwe Aickelin
The immune system is a complex biological system with a highly distributed, adaptive and self-organising nature. This paper presents an Artificial Immune System (AIS) that exploits…
The Danger Theory and Its Application to Artificial Immune Systems
Uwe Aickelin, Steve Cayzer
Over the last decade, a new idea challenging the classical self-non-self viewpoint has become popular amongst immunologists. It is called the Danger Theory. In this conceptual pape…
On the Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
Steve Cayzer, Uwe Aickelin
It has previously been shown that a recommender based on immune system idiotypic principles can out perform one based on correlation alone. This paper reports the results of work i…