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Autopoiesis, the immune system, and adaptive information filtering

Nanas, Nikolaos and De Roeck, Anne (2009). Autopoiesis, the immune system, and adaptive information filtering. Natural Computing, 8(2) pp. 387–427.

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Adaptive information filtering is a challenging and fascinating problem. It requires the adaptation of a representation of a user’s multiple interests to various changes in them. We tackle this dynamic problem with Nootropia, a model inspired by the autopoietic view of the immune system. It is based on a self-organising antibody network that reacts to user feedback in order to define and preserve the user interests. We describe Nootropia in the context of adaptive, content-based document filtering and evaluate it using virtual users. The results demonstrate Nootropia’s ability to adapt to both short-term variations and more radical changes in the user’s interests, and to dynamically control its size and connectivity in the process. Advantages over existing approaches to profile adaptation, such as learning algorithms and evolutionary algorithms are also highlighted.

Item Type: Journal Item
Copyright Holders: 2008 Springer Science+Business Media B.V.
ISSN: 1572-9796
Extra Information: Special issue on Nature-inspired learning and adaptive systems. Guest Editors: Bogdan Gabrys and Davide Anguita
Keywords: immune inspired; autopoiesis; adaptive information filtering
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 38538
Depositing User: Anne De Roeck
Date Deposited: 25 Sep 2013 11:19
Last Modified: 09 Dec 2018 07:15
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