The University of Southampton
University of Southampton Institutional Repository

A methodology to take account of diversity in collective adaptive system

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.
Essence Network/Smart Society Project
Packer, Heather
0e86c31f-6460-4bbd-b6ac-c717ee2cbd96
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
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. Essence Network/Smart Society Project. 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
Download (1MB)

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, 2016-08-28 - 2016-08-28
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
ORCID for Luc Moreau: ORCID iD orcid.org/0000-0002-3494-120X

Catalogue record

Date deposited: 22 Jul 2016 12:54
Last modified: 02 Nov 2020 17:33

Export record

Contributors

Author: Heather Packer
Author: Luc Moreau ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×