Inspiration for the Next Generation of Artificial Immune Systems
P. Andrews, and J. Timmis. In: Proc. of the 4th International Conference on Artificial Immune Systems, page 126--138. Springer, (2005)
Abstract
Abstract. In this conceptual paper, we consider the state of artificial immune system (AIS) design today, and the nature of the immune theories on which they are based. We highlight the disagreement amongst many immunologists regarding the concept of self–non-self discriminations in the immune system, and go on describe on such model that removes altogether the requirement for self–non-self discrimination. We then identify the possible inspiration ideas for AIS that can be gained from such new, and often radical, models of the immune system. Next, we outline a possible approach to designing AIS that are inspired by new immune theories, following a suitable methodology and selecting appropriate modelling tools. Lastly, we follow our approach and present an example of how the AIS designer might take inspiration from a specific property of a new immune theory. This example highlights our proposed method for inspiring the design of the next generation of AIS. 1
Description
Inspiration for the Next Generation of Artificial Immune Systems
%0 Conference Paper
%1 Andrews05inspirationfor
%A Andrews, Paul S.
%A Timmis, Jon
%B In: Proc. of the 4th International Conference on Artificial Immune Systems
%D 2005
%I Springer
%K imported
%P 126--138
%T Inspiration for the Next Generation of Artificial Immune Systems
%X Abstract. In this conceptual paper, we consider the state of artificial immune system (AIS) design today, and the nature of the immune theories on which they are based. We highlight the disagreement amongst many immunologists regarding the concept of self–non-self discriminations in the immune system, and go on describe on such model that removes altogether the requirement for self–non-self discrimination. We then identify the possible inspiration ideas for AIS that can be gained from such new, and often radical, models of the immune system. Next, we outline a possible approach to designing AIS that are inspired by new immune theories, following a suitable methodology and selecting appropriate modelling tools. Lastly, we follow our approach and present an example of how the AIS designer might take inspiration from a specific property of a new immune theory. This example highlights our proposed method for inspiring the design of the next generation of AIS. 1
@inproceedings{Andrews05inspirationfor,
abstract = {Abstract. In this conceptual paper, we consider the state of artificial immune system (AIS) design today, and the nature of the immune theories on which they are based. We highlight the disagreement amongst many immunologists regarding the concept of self–non-self discriminations in the immune system, and go on describe on such model that removes altogether the requirement for self–non-self discrimination. We then identify the possible inspiration ideas for AIS that can be gained from such new, and often radical, models of the immune system. Next, we outline a possible approach to designing AIS that are inspired by new immune theories, following a suitable methodology and selecting appropriate modelling tools. Lastly, we follow our approach and present an example of how the AIS designer might take inspiration from a specific property of a new immune theory. This example highlights our proposed method for inspiring the design of the next generation of AIS. 1},
added-at = {2009-04-13T23:46:52.000+0200},
author = {Andrews, Paul S. and Timmis, Jon},
biburl = {https://www.bibsonomy.org/bibtex/26409f10cc273737093b0fef0896ed96f/dalbem},
booktitle = {In: Proc. of the 4th International Conference on Artificial Immune Systems},
description = {Inspiration for the Next Generation of Artificial Immune Systems},
interhash = {978e4b99165c62dddec0af093e2559b5},
intrahash = {6409f10cc273737093b0fef0896ed96f},
keywords = {imported},
pages = {126--138},
publisher = {Springer},
timestamp = {2009-04-13T23:46:52.000+0200},
title = {Inspiration for the Next Generation of Artificial Immune Systems},
year = 2005
}