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Summary: INTEGRATED INNATE AND ADAPTIVE
ARTIFICIAL IMMUNE SYSTEMS APPLIED TO
PROCESS ANOMALY DETECTION
Jamie Paul Twycross
Thesis submitted to the University of Nottingham
for the degree of Doctor of Philosophy
January 2007
Abstract
This thesis explores the design and application of artificial immune systems
(AISs), problem-solving systems inspired by the human and other immune
systems. AISs to date have largely been modelled on the biological adaptive
immune system and have taken little inspiration from the innate immune
system. The first part of this thesis examines the biological innate immune
system, which controls the adaptive immune system. The importance of the
innate immune system suggests that AISs should also incorporate models
of the innate immune system as well as the adaptive immune system. This
thesis presents and discusses a number of design principles for AISs which
are modelled on both innate and adaptive immunity. These novel design
principles provided a structured framework for developing AISs which in-
corporate innate and adaptive immune systems in general. These design
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