A computational model of degeneracy in a lymph node

Paul S. Andrews; Jon Timmis

A computational model of degeneracy in a lymph node

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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 T-H cell in the lymph node, as lymph nodes are the sites in the body where the adaptive immune response to foreign antigen in the lymph are activated. The model contains APC, antigen and T-H cell agents that move and interact in a 2-dimensional cellular space. The T-H cell agent receptors are assumed to be degenerate and their response to different antigen agents is measured. Initial observations and results of our model are presented and highlight some of the possibilities of degenerate detector recognition.

Original language	English
Title of host publication	ARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS
Editors	H Bersini, J Carneiro
Place of Publication	BERLIN
Publisher	Springer
Pages	164-177
Number of pages	14
ISBN (Print)	3-540-37749-2
Publication status	Published - 2006
Event	5th International Conference on Artificial Immune Systems - Oeiras Duration: 4 Sept 2006 → 6 Sept 2006

Conference

Conference	5th International Conference on Artificial Immune Systems
City	Oeiras
Period	4/09/06 → 6/09/06

Keywords

SYSTEMS

Cite this

@inproceedings{a800e988e9a0403683e4b85f72d383cc,

title = "A computational model of degeneracy in a lymph node",

abstract = "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 T-H cell in the lymph node, as lymph nodes are the sites in the body where the adaptive immune response to foreign antigen in the lymph are activated. The model contains APC, antigen and T-H cell agents that move and interact in a 2-dimensional cellular space. The T-H cell agent receptors are assumed to be degenerate and their response to different antigen agents is measured. Initial observations and results of our model are presented and highlight some of the possibilities of degenerate detector recognition.",

keywords = "SYSTEMS",

author = "Andrews, {Paul S.} and Jon Timmis",

year = "2006",

language = "English",

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pages = "164--177",

editor = "H Bersini and J Carneiro",

booktitle = "ARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS",

publisher = "Springer",

address = "Germany",

note = "5th International Conference on Artificial Immune Systems ; Conference date: 04-09-2006 Through 06-09-2006",

}

TY - GEN

T1 - A computational model of degeneracy in a lymph node

AU - Andrews, Paul S.

AU - Timmis, Jon

PY - 2006

Y1 - 2006

N2 - 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 T-H cell in the lymph node, as lymph nodes are the sites in the body where the adaptive immune response to foreign antigen in the lymph are activated. The model contains APC, antigen and T-H cell agents that move and interact in a 2-dimensional cellular space. The T-H cell agent receptors are assumed to be degenerate and their response to different antigen agents is measured. Initial observations and results of our model are presented and highlight some of the possibilities of degenerate detector recognition.

AB - 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 T-H cell in the lymph node, as lymph nodes are the sites in the body where the adaptive immune response to foreign antigen in the lymph are activated. The model contains APC, antigen and T-H cell agents that move and interact in a 2-dimensional cellular space. The T-H cell agent receptors are assumed to be degenerate and their response to different antigen agents is measured. Initial observations and results of our model are presented and highlight some of the possibilities of degenerate detector recognition.

KW - SYSTEMS

M3 - Conference contribution

SN - 3-540-37749-2

SP - 164

EP - 177

BT - ARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS

A2 - Bersini, H

A2 - Carneiro, J

PB - Springer

CY - BERLIN

T2 - 5th International Conference on Artificial Immune Systems

Y2 - 4 September 2006 through 6 September 2006

ER -