A Visualization Technique for Multiagent Systems

DISSERTATION WITH DISTINCTION

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Main Author: Rayes, Manal (author)
Published: 2011
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Online Access:http://bspace.buid.ac.ae/handle/1234/46
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author Rayes, Manal
author_facet Rayes, Manal
author_role author
dc.creator.none.fl_str_mv Rayes, Manal
dc.date.none.fl_str_mv 2011-03
2013-02-28T15:21:35Z
2013-02-28T15:21:35Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 70007
http://bspace.buid.ac.ae/handle/1234/46
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv The British University in Dubai (BUiD)
dc.subject.none.fl_str_mv multi-agent
visualization techniques
global network structure
dc.title.none.fl_str_mv A Visualization Technique for Multiagent Systems
dc.type.none.fl_str_mv Dissertation
description DISSERTATION WITH DISTINCTION
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network_acronym_str budr
network_name_str The British University in Dubai repository
oai_identifier_str oai:bspace.buid.ac.ae:1234/46
publishDate 2011
publisher.none.fl_str_mv The British University in Dubai (BUiD)
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling A Visualization Technique for Multiagent SystemsRayes, Manalmulti-agentvisualization techniquesglobal network structureDISSERTATION WITH DISTINCTIONIn this dissertation we consider the problem of monitoring and visualizing the performance of multi-agent systems, i.e. systems of adaptive agents that change their behaviour as a result of learning and experiencing. Instead of relying on global performance measures, as have been done by current visualization techniques, we use a different technique which is a combination of dimensionality reduction and social network measures. The advantage of this technique, we claim, is that it does not only capture the performance of the multiagent system on its macro level, as is the case with the global performance metrics methods, but it can also capture the performance on the micro level, i.e. by being sensitive to the performance of individual agents.To test our technique, we first conduct several experiments to compare different combinations of dimensionality reduction techniques and network measures. Then we apply one such combination on networks of adaptive agents that play games (we use the term ”game” as in the Game theory). Our findings confirm that using dimensionality-reduced weighted network measures in visualizing the performance of multi-agent systems is informative in the sense that they proved to be sensitive to changes in the global as well as local system dynamics (for example the global network structure and the local learning of individual agents).The British University in Dubai (BUiD)2013-02-28T15:21:35Z2013-02-28T15:21:35Z2011-03Dissertationapplication/pdf70007http://bspace.buid.ac.ae/handle/1234/46enoai:bspace.buid.ac.ae:1234/462021-11-09T07:50:57Z
spellingShingle A Visualization Technique for Multiagent Systems
Rayes, Manal
multi-agent
visualization techniques
global network structure
title A Visualization Technique for Multiagent Systems
title_full A Visualization Technique for Multiagent Systems
title_fullStr A Visualization Technique for Multiagent Systems
title_full_unstemmed A Visualization Technique for Multiagent Systems
title_short A Visualization Technique for Multiagent Systems
title_sort A Visualization Technique for Multiagent Systems
topic multi-agent
visualization techniques
global network structure
url http://bspace.buid.ac.ae/handle/1234/46