Intrusion detection based upon computational intelligence is currently attracting
considerable interest from the research community. Characteristics of computational …

The use of artificial immune systems in intrusion detection is an appealing concept for two
reasons. First, the human immune system provides the human body with a high level of …

A comprehensive introduction to new approaches in artificial intelligence and robotics that
are inspired by self-organizing biological processes and structures. New approaches to …

Artificial immune systems (AIS) constitute a relatively new area of bio-inspired computing.
Biological models of the natural immune system, in particular the theories of clonal selection …

Clearly, nature has been very effective in creating organisms that are capable of protecting
themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The …

After a decade of research into the area of artificial immune systems, it is worthwhile to take
a step back and reflect on the contributions that the paradigm has brought to the application …

Artificial immune systems are a collection of algorithms inspired by the human immune
system. Over the past 15 years, extensive research has been performed regarding the …

We address the problem of reconstructing 3D face models from large unstructured photo
collections, eg, obtained by Google image search or from personal photo collections in …

In this position paper, we argue that the field of artificial immune systems (AIS) has reached
an impasse. For many years, immune inspired algorithms, whilst having some degree of …

Abstract The Dendritic Cell algorithm (DCA) is inspired by recent work in innate immunity. In
this paper a formal description of the DCA is given. The DCA is described in detail, and its …