ABMS: Agent-based modeling and simulation in web service selection

Al-Sharawneh, J; Williams, MA

ABMS: Agent-based modeling and simulation in web service selection

Al-Sharawneh, J Williams, MA

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Publication Type:: Conference Proceeding
Citation:: Proceedings - International Conference on Management and Service Science, MASS 2009, 2009
Issue Date:: 2009-12-01

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Field	Value	Language
dc.contributor.author	Al-Sharawneh, J	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	Proceedings - International Conference on Management and Service Science, MASS 2009, 2009	en_US
dc.identifier.isbn	9781424446391	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11935
dc.description.abstract	Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous interacting agents. It promises to have an important role in research and education. Some researchers have contended that ABMS "is a third way of doing science". ABMS has been applied to a wide range of research in a varied number of complex domain problems. Social simulation is playing an increasingly important role in today's interconnected society. In this paper we apply agent based modeling and simulation to investigate the impact of Goldbaum's innovative "Follow the Leader" in social networks in web services selection using a recommender system that guides a user to select the best service that matches his requirements and preferences. We test and evaluate several customers' behaviors scenarios using our simulation tool "SSSS: Service Selection Simulation Studio". ©2009 IEEE.	en_US
dc.relation.ispartof	Proceedings - International Conference on Management and Service Science, MASS 2009	en_US
dc.relation.isbasedon	10.1109/ICMSS.2009.5301897	en_US
dc.title	ABMS: Agent-based modeling and simulation in web service selection	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Beijing, China.	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous interacting agents. It promises to have an important role in research and education. Some researchers have contended that ABMS "is a third way of doing science". ABMS has been applied to a wide range of research in a varied number of complex domain problems. Social simulation is playing an increasingly important role in today's interconnected society. In this paper we apply agent based modeling and simulation to investigate the impact of Goldbaum's innovative "Follow the Leader" in social networks in web services selection using a recommender system that guides a user to select the best service that matches his requirements and preferences. We test and evaluate several customers' behaviors scenarios using our simulation tool "SSSS: Service Selection Simulation Studio". ©2009 IEEE.

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http://hdl.handle.net/10453/11935