All in the same boat: a "situated" model of emergent immune response

Authors:
Tom Hebbron;Jason Noble;Seth Bullock
Affiliations:
University of Southampton, UK;University of Southampton, UK;University of Southampton, UK
Venue:
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
Year:
2009

Citing 3
Cited 0

Thirty years of computational autopoiesis: a review

Artificial Life
How Do We Evaluate Artificial Immune Systems?

Evolutionary Computation
No free lunch theorems for optimization

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.03

Visualization

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.