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Scenario-based modeling to capture requirements for immune inspired profile adaptation

The human immune system has characteristics such as self-organisation, robustness and adaptivity that may be useful in the development of adaptive systems. One suitable application area for adaptive systems is Information Filtering (IF). Within the context of IF, learning and adapting user profiles...

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Main Authors: Mohd Azmi, Nurulhuda Firdaus, Timmis, Jon, Polack, Fiona
Format: Conference or Workshop Item
Published: 2013
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/51294/
http://ieeexplore.ieee.org/abstract/document/6637551/?section=abstract
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spelling my.utm.512942017-09-03T11:24:27Z http://eprints.utm.my/id/eprint/51294/ Scenario-based modeling to capture requirements for immune inspired profile adaptation Mohd Azmi, Nurulhuda Firdaus Timmis, Jon Polack, Fiona QA75 Electronic computers. Computer science The human immune system has characteristics such as self-organisation, robustness and adaptivity that may be useful in the development of adaptive systems. One suitable application area for adaptive systems is Information Filtering (IF). Within the context of IF, learning and adapting user profiles is an important research area. In this paper, we proposed an architecture for adaptive IF incorporating ideas from Artificial Immune Systems (AIS). We then extract general features of potential immune inspired profile adaptation based on scenario-based modeling. The richness of scenario usage which we have encountered in this work indicates the importance of comprehensive process guidance. 2013-10-21 Conference or Workshop Item PeerReviewed Mohd Azmi, Nurulhuda Firdaus and Timmis, Jon and Polack, Fiona (2013) Scenario-based modeling to capture requirements for immune inspired profile adaptation. In: 8th International Conference on Information Technology in Asia (CITA), 2013, 1st-4th July 2013, Kota Samarahan, Malaysia. http://ieeexplore.ieee.org/abstract/document/6637551/?section=abstract
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohd Azmi, Nurulhuda Firdaus
Timmis, Jon
Polack, Fiona
Scenario-based modeling to capture requirements for immune inspired profile adaptation
description The human immune system has characteristics such as self-organisation, robustness and adaptivity that may be useful in the development of adaptive systems. One suitable application area for adaptive systems is Information Filtering (IF). Within the context of IF, learning and adapting user profiles is an important research area. In this paper, we proposed an architecture for adaptive IF incorporating ideas from Artificial Immune Systems (AIS). We then extract general features of potential immune inspired profile adaptation based on scenario-based modeling. The richness of scenario usage which we have encountered in this work indicates the importance of comprehensive process guidance.
format Conference or Workshop Item
author Mohd Azmi, Nurulhuda Firdaus
Timmis, Jon
Polack, Fiona
author_facet Mohd Azmi, Nurulhuda Firdaus
Timmis, Jon
Polack, Fiona
author_sort Mohd Azmi, Nurulhuda Firdaus
title Scenario-based modeling to capture requirements for immune inspired profile adaptation
title_short Scenario-based modeling to capture requirements for immune inspired profile adaptation
title_full Scenario-based modeling to capture requirements for immune inspired profile adaptation
title_fullStr Scenario-based modeling to capture requirements for immune inspired profile adaptation
title_full_unstemmed Scenario-based modeling to capture requirements for immune inspired profile adaptation
title_sort scenario-based modeling to capture requirements for immune inspired profile adaptation
publishDate 2013
url http://eprints.utm.my/id/eprint/51294/
http://ieeexplore.ieee.org/abstract/document/6637551/?section=abstract
_version_ 1643652997245304832
score 13.211869

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