author : Dipankar Dasgupta

The papers are collected into three Parts: • Introduction • Artificial Immune Systems: Modeling and Simulation • Artificial Immune Systems: Applications

Contents

• Dipankar Dasgupta.

An overview of Artificial Immune Systems and their applications

Humans have 10¹⁰ homogeneous neurons recognising shapes, 10¹² heterogeneous lymphocytes recognising shapes

• Hugues Bersini.

The endogenous double plasticity of the immune network and the inspiration to be drawn for engineering artifacts

Immune systems and artifacts are both influenced by "protection" ideas more than they influence each other • parametric plasticity adjusts weights/concentrations; slower structural plasticity adds/removes nodes/links, adjusting network topology • ecosystem is a selfish optimiser, selecting and breeding from strongest members; immune system depends on collective behaviour of entire system, compensates for most unsatisfactory, weakest member by generating new members very different from it • so new nodes are complementary, not similar, to existing nodes

• John Stewart, Jorge Carneiro.

The central and the peripheral immune systems: what is the relationship?

• Lee A. Segel, Ruth Lev Bar-Or.

Immunology viewed as the study of an autonomous decentralized system

• ... the size of the pharmaceutical industry is witness to imperfections in our immune system.
• At higher pathogen populations, more effector damage to the host should be accepted, in order to be able to enhance the killing of the more threatening pathogens
• ... a major method for assigning credit for a given deed is reinforcing those agents who are in geographical proximity to the location where the deed was done.
• ... it is difficult ... to construct a satisfactory scalar measure of quality in achieving an ensemble of goals.

• Debashish Chowdhury.

Immune network: an example of a complex adaptive system

• Derek J. Smith, Stephanie Forrest, Alan S. Perelson.

Immunological memory is associative

• Wai-Yuan Tan, Zhihua Xiang.

Estimating and predicting the number of free HIV and T cells by nonlinear Kalman filter

• Derek J. Smith, Stephanie Forrest, David H. Ackley, Alan S. Perelson.

Modeling the effects of prior infection on vaccine efficacy

• John Hunt, Jonathan Timmis, Denise Cooke, Mark Neal, Clive King.

Jisys: the development of an Artificial Immune System for real world applications

• Yuji Watanabe, Akio Ishiguro, Yoshiki Uchikawa.

Decentralized behaviour arbitration mechanism for autonomous mobile robot using immune network

• Toyoo Fukuda, Kazuyuki Mori, Makoto Tsukiyama.

Parallel search for multi-modal function optimization with diversity and learning of immune algorithm

• Kalmanjie KrishnaKumar, James Neidhoefer.

Immunized adaptive critic for an autonomous aircraft control application

• Jeffrey O. Kephart, Gregory B. Sorkin, Morton Swimmer, Steve R. White.

Blueprint for a computer immune system

• Dipankar Dasgupta, Stephanie Forrest.

An anomaly detection algorithm inspired by the immune system

• Toyoo Fukuda, Kazuyuki Mori, Makoto Tsukiyama.

Immunity-based management system for a semiconductor production line

Contents

• Matthew Russell, John A. Clark, Susan Stepney.

Using Ants to attack a classical cipher. 2003

full paper

Contents

• John A. Clark, Jeremy L. Jacob, Susan Stepney.

Secret Agents Leave Big Footprints: how to plant a crytographic trapdoor, and why you might not get away with it. 2003

full paper