Researchers in cognitive science struggle to find a computational model that best represents cognitive phenomena for the latter are extremely complex and their mechanisms are not well understood. The biological immune system, in turn, features intrinsic cognitive characteristics. As a consequence, computational models of the immune system are capable of naturally incorporating many of these abi...

1. INTRODUCTION The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self or non-self substances. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical

In this position paper, we argue that the field of Artificial Immune Systems (AIS) has reached an impass. For many years, immune inspired algorithms, whilst having some degree of success, have been limited by the lack of theorectical advances, the adoption of a limited immune inspired approach and the limited application of AIS to hard problems.

Artificial immune systems represent key functions and properties of the biological immune system for solving problems in computational science. Specific approaches exist for modelling biological and artificial immune systems. This paper is focused on the usage of the OWL language in the artificial immune system modelling with the aid of the Protégé-OWL plugin.

For the need of robust and secure functioning of computer systems, advanced computational systems are required, for which Artificial Immune Systems are used. These systems are inspired by the immune system of human body, in humans the immunity system saves the body from external threats. We in this paper would analyze the comparison of networking branches of Artificial Immune System, which buil...

The immune system provides a rich metaphor for computer security: anomaly detection that works in nature should work for machines. However, early artificial immune system approaches for computer security had only limited success. Arguably, this was due to these artificial systems being based on too simplistic a view of the immune system. We present here a second generation artificial immune sys...