All in the same boat: A “situated” model of emergent immune response
All in the same boat: A “situated” model of emergent immune response
Immune systems provide a unique window on the evolution of individuality. Existing models of immune systems fail to consider them as situated within a biochemical context. We present a model that uses an NK landscape as an underlying metabolic substrate, represents organisms as having both internal and external structure, and provides a basis for studying the coevolution of pathogens and host immune responses. Early results from the model are discussed; we show that interaction between organisms drives a population to optima distinct from those found when adapting against an abiotic background.
353-360
Hebbron, Tom
24aac6f9-0241-48be-a3d8-8468319dc46a
Noble, Jason
440f07ba-dbb8-4d66-b969-36cde4e3b764
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
2011
Hebbron, Tom
24aac6f9-0241-48be-a3d8-8468319dc46a
Noble, Jason
440f07ba-dbb8-4d66-b969-36cde4e3b764
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
Hebbron, Tom, Noble, Jason and Bullock, Seth
(2011)
All in the same boat: A “situated” model of emergent immune response.
George, Kampis, István, Karsai and Eörs, Szathmáry
(eds.)
In Advances in Artificial Life: Tenth European Conference on Artificial Life (ECAL '09).
Springer.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Immune systems provide a unique window on the evolution of individuality. Existing models of immune systems fail to consider them as situated within a biochemical context. We present a model that uses an NK landscape as an underlying metabolic substrate, represents organisms as having both internal and external structure, and provides a basis for studying the coevolution of pathogens and host immune responses. Early results from the model are discussed; we show that interaction between organisms drives a population to optima distinct from those found when adapting against an abiotic background.
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Published date: 2011
Venue - Dates:
ECAL 2009, 2011-01-01
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 267670
URI: http://eprints.soton.ac.uk/id/eprint/267670
PURE UUID: f6820214-bce5-4659-8ab6-155c00f43c64
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Date deposited: 17 Jul 2009 00:28
Last modified: 14 Mar 2024 08:56
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Contributors
Author:
Tom Hebbron
Author:
Jason Noble
Editor:
Kampis George
Editor:
Karsai István
Editor:
Szathmáry Eörs
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