Artificial Immune Tissue using Self-Organizing Networks

Feyereisl, J; Aickelin, Uwe

Abstract

As introduced by Bentley et al. (2005), artificial immune systems (AIS) are lacking tissue, which is present in one form or another in all living multi-cellular organisms. Some have argued that this concept in the context of AIS brings little novelty to the already saturated field of the immune inspired computational research. This article aims to show that such a component of an AIS has the potential to bring an advantage to a data processing algorithm in terms of data pre-processing, clustering and extraction of features desired by the immune inspired system. The proposed tissue algorithm is based on self-organizing networks, such as self-organizing maps (SOM) developed by Kohonen (1996) and an analogy of the so called Toll-Like Receptors (TLR) affecting the activation function of the clusters developed by the SOM.

Citation

Feyereisl, J., & Aickelin, U. Artificial Immune Tissue using Self-Organizing Networks. Presented at Workshop on Artificial Immune Systems and Immune System Modelling

• Conference Name: Workshop on Artificial Immune Systems and Immune System Modelling
• Publication Date: Jan 1, 2006
• Deposit Date: Oct 22, 2007
• Publicly Available Date: Oct 22, 2007
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.2139/ssrn.2831376
• Keywords: Artificial Immune Tissue using Self-Organizing Networks
• Public URL: https://nottingham-repository.worktribe.com/output/1018832
• Additional Information: Pages 5-6