Output details
11 - Computer Science and Informatics
Edinburgh Napier University
Article title
Representation in the (Artificial) Immune System
Type
D - Journal article
Title of journal
Journal of Mathematical Modelling and Algorithms
Article number
-
Volume number
8
Issue number
2
First page of article
125
ISSN of journal
1572-9214
Year of publication
2009
URL
-
Number of additional authors
1
Additional information
<24> This paper was the first to use statistical-learning theory to provide an alternative abstraction for Artificial Immune Systems as an alternative to the universally accepted shape-space theory, unifying concepts from biology and machine-learning. By applying a rigorous approach rooted in basis decomposition the computational properties of the abstraction can be derived in contrast to the weak metaphorical arguments commonly used in the field.
The paper was one of the first contributions to a new body of work attempting to underpin the AIS field with a sound theoretical foundation.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
6
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
