@inbook{8fb77e34a8b64cb993c375be6641ec2b,
title = "Towards a conceptual framework for artificial 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 = "artificial immune system, fitness landscape, immune network, swarm algorithm, clonal selection algorithm",
author = "Susan Stepney and Smith, \{Robert E.\} and Jonathan Timmis and Tyrrell, \{Andy M.\}",
year = "2004",
doi = "10.1007/978-3-540-30220-9\_5",
language = "English",
isbn = "3540230971",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "53--64",
editor = "Giuseppe Nicosia and Vincenzo Cutello and Bentley, \{Peter J.\} and Jon Timmis",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Switzerland",
}