Towards a conceptual framework for artiflcial immune systems

S Stepney; R E Smith; J Timmis; A M Tyrrell

Towards a conceptual framework for artiflcial immune systems

S Stepney, R E Smith, J Timmis, A M Tyrrell

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

Abstract

We propose 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 we outline such a framework here, in the context of AIS network models. We further propose ways to unify several domains into a common meta-framework, in the context of AIS population models. We finally hint at the possibility of a novel instantiation of such a meta-framework, thereby allowing the building of a specific computational framework that is inspired by biology, but not restricted to any one particular biological domain.

Original language	English
Title of host publication	ARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS
Editors	G Nicosia, V Cutello, PJ Bentley, J Timmis
Place of Publication	BERLIN
Publisher	Springer
Pages	53-64
Number of pages	12
ISBN (Print)	3-540-23097-1
Publication status	Published - 2004
Event	3rd International Conference on Artificial Immune Systems - Catania Duration: 13 Sep 2004 → 16 Sep 2004

Conference

Conference	3rd International Conference on Artificial Immune Systems
City	Catania
Period	13/09/04 → 16/09/04

Keywords

NETWORK THEORY
SELF
NONSELF
MEMORY
MODEL

Cite this

@inproceedings{d03ed0352de84b799872ce8446699d2f,

title = "Towards a conceptual framework for artiflcial immune systems",

abstract = "We propose 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 we outline such a framework here, in the context of AIS network models. We further propose ways to unify several domains into a common meta-framework, in the context of AIS population models. We finally hint at the possibility of a novel instantiation of such a meta-framework, thereby allowing the building of a specific computational framework that is inspired by biology, but not restricted to any one particular biological domain.",

keywords = "NETWORK THEORY, SELF, NONSELF, MEMORY, MODEL",

author = "S Stepney and Smith, {R E} and J Timmis and Tyrrell, {A M}",

year = "2004",

language = "English",

isbn = "3-540-23097-1",

pages = "53--64",

editor = "G Nicosia and V Cutello and PJ Bentley and J Timmis",

booktitle = "ARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS",

publisher = "Springer",

address = "Germany",

note = "3rd International Conference on Artificial Immune Systems ; Conference date: 13-09-2004 Through 16-09-2004",

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TY - GEN

T1 - Towards a conceptual framework for artiflcial immune systems

AU - Stepney, S

AU - Smith, R E

AU - Timmis, J

AU - Tyrrell, A M

PY - 2004

Y1 - 2004

N2 - We propose 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 we outline such a framework here, in the context of AIS network models. We further propose ways to unify several domains into a common meta-framework, in the context of AIS population models. We finally hint at the possibility of a novel instantiation of such a meta-framework, thereby allowing the building of a specific computational framework that is inspired by biology, but not restricted to any one particular biological domain.

AB - We propose 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 we outline such a framework here, in the context of AIS network models. We further propose ways to unify several domains into a common meta-framework, in the context of AIS population models. We finally hint at the possibility of a novel instantiation of such a meta-framework, thereby allowing the building of a specific computational framework that is inspired by biology, but not restricted to any one particular biological domain.

KW - NETWORK THEORY

KW - SELF

KW - NONSELF

KW - MEMORY

KW - MODEL

M3 - Conference contribution

SN - 3-540-23097-1

SP - 53

EP - 64

BT - ARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS

A2 - Nicosia, G

A2 - Cutello, V

A2 - Bentley, PJ

A2 - Timmis, J

PB - Springer

CY - BERLIN

T2 - 3rd International Conference on Artificial Immune Systems

Y2 - 13 September 2004 through 16 September 2004

ER -