A Computational Model of Degeneracy in a Lymph Node

@inproceedings{Andrews2006ACM,
  title={A Computational Model of Degeneracy in a Lymph Node},
  author={Paul S. Andrews and Jonathan Timmis},
  booktitle={ICARIS},
  year={2006}
}
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… 

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References

SHOWING 1-10 OF 22 REFERENCES

Capturing Degeneracy in the Immune System

TLDR
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

TLDR
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

TLDR
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

TLDR
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
TLDR
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

TLDR
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.

Discrimination and dialogue in the immune system.

  • I. Cohen
  • Biology
    Seminars in immunology
  • 2000
This paper presents reasons for concluding that the immune system maintains the individual body throughout the vicissitudes of life without the need to make an absolute distinction between self and