Using agents' attitudes and assessments in automated fuzzy bidding strategy

Goyal, ML; Ma, J

Using agents' attitudes and assessments in automated fuzzy bidding strategy

Goyal, ML

Ma, J

Permalink

Publication Type:: Conference Proceeding
Citation:: ICAART 2009 - Proceedings of the 1st International Conference on Agents and Artificial Intelligence, 2009, pp. 385 - 391
Issue Date:: 2009-10-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (73.77 kB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Goyal, ML https://orcid.org/0000-0003-2853-9393	en_US
dc.contributor.author	Ma, J	en_US
dc.date.issued	2009-10-01	en_US
dc.identifier.citation	ICAART 2009 - Proceedings of the 1st International Conference on Agents and Artificial Intelligence, 2009, pp. 385 - 391	en_US
dc.identifier.isbn	9789898111661	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11897
dc.description.abstract	To be successful in multi-attribute auction, agents must be capable of adapting to continuous changing bidding price. This paper presents a novel fuzzy attitude based bidding strategy (FA-Bid), which employs dual assessment technique i.e. assessment of multiple attributes of the goods as well as assessment of agents attitude (eagerness) to procure an item in automated auction. The assessment of attributes adapts the fuzzy sets technique to handle uncertainty of the bidding process as well use heuristic rules to determine attitude of bidding agents in simulated auctions to procure goods. The overall assessment is used to determine a price range based on current bid, which finally selects the best one as the new bid.	en_US
dc.relation.ispartof	ICAART 2009 - Proceedings of the 1st International Conference on Agents and Artificial Intelligence	en_US
dc.title	Using agents' attitudes and assessments in automated fuzzy bidding strategy	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Porto, Portugal	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:

To be successful in multi-attribute auction, agents must be capable of adapting to continuous changing bidding price. This paper presents a novel fuzzy attitude based bidding strategy (FA-Bid), which employs dual assessment technique i.e. assessment of multiple attributes of the goods as well as assessment of agents attitude (eagerness) to procure an item in automated auction. The assessment of attributes adapts the fuzzy sets technique to handle uncertainty of the bidding process as well use heuristic rules to determine attitude of bidding agents in simulated auctions to procure goods. The overall assessment is used to determine a price range based on current bid, which finally selects the best one as the new bid.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/11897