Artificial Immune Systems (AIS) - A New Paradigm for Heuristic Decision Making

TL;DR

Artificial Immune Systems (AIS) are a new computational paradigm inspired by immunology, showing promise in solving complex heuristic decision-making problems, with ongoing development and comparison to other algorithms.

Contribution

This paper introduces AIS as a novel paradigm, illustrating its principles, applications, and potential, highlighting its emerging status and differences from established methods.

Findings

AIS has been useful in solving computational problems.

AIS differs from other algorithms due to its immunology-inspired metaphors.

AIS is a young, evolving field with diverse implementations.

Abstract

Over the last few years, more and more heuristic decision making techniques have been inspired by nature, e.g. evolutionary algorithms, ant colony optimisation and simulated annealing. More recently, a novel computational intelligence technique inspired by immunology has emerged, called Artificial Immune Systems (AIS). This immune system inspired technique has already been useful in solving some computational problems. In this keynote, we will very briefly describe the immune system metaphors that are relevant to AIS. We will then give some illustrative real-world problems suitable for AIS use and show a step-by-step algorithm walkthrough. A comparison of AIS to other well-known algorithms and areas for future work will round this keynote off. It should be noted that as AIS is still a young and evolving field, there is not yet a fixed algorithm template and hence actual implementations might differ somewhat from the examples given here.