A Computational Model of Degeneracy in a Lymph Node

  title={A Computational Model of Degeneracy in a Lymph Node},
  author={Paul S. Andrews and Jonathan Timmis},
This paper highlights degeneracy as being an important property in both the immune system and biology in general. From this, degeneracy is chosen as a candidate to inspire artificial immune systems. As a first step in exploiting the power of degeneracy, we follow the conceptual framework approach and build an abstract computational model in order to understand the properties of degenerate detectors free of any application bias. The model we build is based on the activation of TH cell in the… 

The Immune System in Pieces: Computational Lessons from Degeneracy in the Immune System

Through the use of the unified modelling language (UML), this work has abstracted a high level immune inspire algorithm that will be used as part of a larger project to develop an immune inspired bioinformatics system.

Specknets : a case study for artificial immune systems

This thesis examines the role of wireless sensor networks, as illustrated by specknets, as an appropriate platform for developing novel immune-inspired algorithms and the proposal of a methodology to allow blending of ideas derived from two such complex systems.

Artificial Immune Systems (2010)

An overview of AIS is presented, its evolution is discussed, and it is shown that the diversification of the field is linked to the diversity of the immune system itself, leading to a number of algorithms as opposed to one archetypal system.

The Lymph Node Lymphocytes First Humoral Immune Response as an AnyLogic Agent-Based Model

A computational model for the first humoral immune response initiated in the Lymph Nodes organs against both T-Independent and TDependent antigens and the results issued from the AnyLogic simulation respect several immunology experimentations.

An Artificial Immune System for Classification With Local Feature Selection

  • Grzegorz Dudek
  • Computer Science
    IEEE Transactions on Evolutionary Computation
  • 2012
A new multiclass classifier based on immune system principles is proposed, which has the embedded property of local feature selection, and shows good performance in comparison with both other immune inspired classifiers and other classifiers in general.

Artificial Immune Systems

  • J. Timmis
  • Biology
    Encyclopedia of Machine Learning
  • 2010
This chapter concentrates on the development and application of immune inspiration to engineering solutions, and the incorporation of immune system inspired mechanisms and metaphors in the development of engineering solutions.

Immunological Computation: Theory and Applications

Immunological Computation: Theory and Applications presents up-to-date immunity-based computational techniques based on the negative selection process that occurs in the thymus and examines immune networks, including continuous and discrete immune network models.

On Immune Inspired Homeostasis for Electronic Systems

The role of the immune system can play in serving as inspiration for theDevelopment of homeostatic engineered systems, through the development of an immune inspired extensible architecture is discussed.

Adaptable Lymphocytes for Artificial Immune Systems

The adaptable lymphocyte hypothesis is identified as a possible source of inspiration for artificial immune systems and some properties of a theoretical system that could be applicable in an engineering domain are identified.

Applying Antigen-Receptor Degeneracy Behavior for Misbehavior Response Selection in Wireless Sensor Networks

We present a first version of an algorithm producing autonomously responses in wireless sensor networks in order to mitigate detected malfunction and misbehavior. We were inspired by the low level



Capturing Degeneracy in the Immune System

This chapter discusses how degeneracy acts as a strategy to optimize the necessary trade-off between the inescapable promiscuity of receptors and ligands, with the necessity to produce a specific response, and how the degeneracy principle acts to set up a memory of each immunological event, thus contributing to the fitness of the organism.

Inspiration for the Next Generation of Artificial Immune Systems

The disagreement amongst many immunologists regarding the concept of self–non-self discriminations in the immune system is highlighted, and a possible approach to designing AIS that are inspired by new immune theories is outlined, following a suitable methodology and selecting appropriate modelling tools.

Recognition and function in a degenerate immune system.

Application Areas of AIS: The Past, The Present and The Future

This paper attempts to take stock of the application areas that have been tackled in the past, and ask the difficult question “was it worth it ?”, and suggests a set of problem features that it is believed will allow the true potential of the immunological system to be exploited in computational systems, and define a unique niche for AIS.

Towards a Conceptual Framework for Artificial Immune Systems

It is proposed that bio-inspired algorithms are best developed and analysed in the context of a multidisciplinary conceptual framework that provides for sophisticated biological models and well-founded analytical principles, and a framework for such a framework is outlined here, in thecontext of AIS network models.

Antigen-receptor degeneracy and immunological paradigms.

Degeneracy and complexity in biological systems

  • G. EdelmanJ. Gally
  • Biology
    Proceedings of the National Academy of Sciences of the United States of America
  • 2001
It is argued that degeneracy is a ubiquitous biological property and it is a feature of complexity at genetic, cellular, system, and population levels.

Selection and fine-tuning of the autoimmune T-cell repertoire

Exposure to self-peptides seems to have an important role in positive selection in the thymus and the maintenance of a broad T-cell repertoire in the periphery, and accumulating evidence indicates that other, non-deleting mechanisms control the avidity with which T cells recognize self-antigens.

Migration and thermotaxis of dictyostelium discoideum slugs, a model study

The model is an extension of the hybrid cellular automata/partial differential equation model and the slug behaviour is due to the collective behaviour of the amoebae, which can neither respond to a shallow temperature gradient, nor show differentiation in motion velocity.