A methodology to take account of diversity in collective adaptive system
A methodology to take account of diversity in collective adaptive system
Collective Adaptive Systems (CASs) are comprised of a heterogeneous set of components often developed in a distributed manner. Their users are diverse with respect to their profiles, preferences, interests and goals, and hence, have different requirements. We propose a typology for the diversity of these components, users, and their requirements. We then present a methodology which provides steps to integrate features that record diversity to support accountability. The foundation of accountability is provided by provenance data, and a CAS vocabulary, these knowledge representation languages provide the core vocabulary that can be exploited by agents and services.
Smart Society Project; Essence Network
Packer, Heather
0e86c31f-6460-4bbd-b6ac-c717ee2cbd96
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
29 August 2016
Packer, Heather
0e86c31f-6460-4bbd-b6ac-c717ee2cbd96
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Packer, Heather and Moreau, Luc
(2016)
A methodology to take account of diversity in collective adaptive system.
In DIVERSITY @ ECAI 2016: INTERNATIONAL WORKSHOP ON DIVERSITY-AWARE ARTIFICIAL INTELLIGENCE.
Smart Society Project; Essence Network.
11 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Collective Adaptive Systems (CASs) are comprised of a heterogeneous set of components often developed in a distributed manner. Their users are diverse with respect to their profiles, preferences, interests and goals, and hence, have different requirements. We propose a typology for the diversity of these components, users, and their requirements. We then present a methodology which provides steps to integrate features that record diversity to support accountability. The foundation of accountability is provided by provenance data, and a CAS vocabulary, these knowledge representation languages provide the core vocabulary that can be exploited by agents and services.
Text
diversity-wp2.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 4 July 2016
e-pub ahead of print date: 29 August 2016
Published date: 29 August 2016
Venue - Dates:
International Workshop on Diversity-Aware Artificial Intelligence (DIVERSITY 2016), The Hague, Netherlands, 2016-08-29 - 2016-08-29
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 398369
URI: http://eprints.soton.ac.uk/id/eprint/398369
PURE UUID: cb72935b-32fb-4202-b711-b7bd072d0fb6
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Date deposited: 22 Jul 2016 12:54
Last modified: 15 Mar 2024 18:28
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Contributors
Author:
Heather Packer
Author:
Luc Moreau
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