Negotiating multi-issue e-market auction through fuzzy attitudes

Goyal, M; Lu, J; Zhang, G

Negotiating multi-issue e-market auction through fuzzy attitudes

Goyal, M

Lu, J

Zhang, G

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Publication Type:: Conference Proceeding
Citation:: Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet, 2005, 2 pp. 922 - 927
Issue Date:: 2005-12-01

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Field	Value	Language
dc.contributor.author	Goyal, M https://orcid.org/0000-0003-2853-9393	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.date.issued	2005-12-01	en_US
dc.identifier.citation	Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet, 2005, 2 pp. 922 - 927	en_US
dc.identifier.isbn	0769525040	en_US
dc.identifier.isbn	9780769525044	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2344
dc.description.abstract	The online auctions are one of the most effective ways of negotiation of salable goods over the internet. To be successful in open multi-agent environments, agents must be capable of adapting different strategies and tactics to their prevailing circumstances. This paper presents a software test-bed for studying autonomous bidding strategies in simulated auctions for procuring goods. It shows that agents ' bidding strategy explore the attitudes and behaviors that help agents to manage dynamic assessment of alternative prices of goods given the different scenario conditions. © 2005 IEEE.	en_US
dc.relation.ispartof	Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet	en_US
dc.title	Negotiating multi-issue e-market auction through fuzzy attitudes	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Vienna, Austria	en_US
dc.location.activity	Pittsburgh, PA
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	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

The online auctions are one of the most effective ways of negotiation of salable goods over the internet. To be successful in open multi-agent environments, agents must be capable of adapting different strategies and tactics to their prevailing circumstances. This paper presents a software test-bed for studying autonomous bidding strategies in simulated auctions for procuring goods. It shows that agents ' bidding strategy explore the attitudes and behaviors that help agents to manage dynamic assessment of alternative prices of goods given the different scenario conditions. © 2005 IEEE.

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http://hdl.handle.net/10453/2344