Automated Fuzzy Bidding Strategy Using Agent's Attitude and Market Competition

Goyal, ML; Kaushik, S

Automated Fuzzy Bidding Strategy Using Agent's Attitude and Market Competition

Goyal, ML

Kaushik, S

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Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: International worshop on Multi-Agent Simulation in Finance and Economics, 2009, pp. 17 - 30
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Goyal, ML https://orcid.org/0000-0003-2853-9393	en_US
dc.contributor.author	Kaushik, S	en_US
dc.contributor.editor	Quan Bai	en_US
dc.date	2009-12-13	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	International worshop on Multi-Agent Simulation in Finance and Economics, 2009, pp. 17 - 30	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11933
dc.description.abstract	This paper designs a novel fuzzy competition and attitude based bidding strategy (FCA-Bid), in which the final best bid is calculated on the basis of the attitude of the bidders and the competition for the goods in the market. The estimation of attitude is based on the bidding items attribute assessment, which adapts the fuzzy sets technique to handle uncertainty of the bidding process as well it uses heuristic rules to determine attitude of bidding agents. The bidding strategy also uses and determines competition in the market (based on the two factors i.e. no. of the bidders participating and the total time elapsed for an auction) using Mamdanis Direct Method. Then the final price of the best bid will be determined based on the assessed attitude and the competition in the market using fuzzy reasoning technique.	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	International worshop on Multi-Agent Simulation in Finance and Economics	en_US
dc.relation.isbasedon	https://doi.org/10.1007/978-3-642-16098-1_11	en_us
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in International worshop on Multi-Agent Simulation in Finance and Economics. The final authenticated version is available online at: https://doi.org/10.1007/978-3-642-16098-1_11.	en_US
dc.title	Automated Fuzzy Bidding Strategy Using Agent's Attitude and Market Competition	en_US
dc.type	Conference Proceeding
utslib.location	Nagoya, Japan	en_US
utslib.location.activity	Nagoya, Japan,	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Nagoya, Japan,	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.consider-herdc	false	en_US
pubs.place-of-publication	Nagoya, Japan	en_US
pubs.start-date	2009-12-13	en_US

Abstract:

This paper designs a novel fuzzy competition and attitude based bidding strategy (FCA-Bid), in which the final best bid is calculated on the basis of the attitude of the bidders and the competition for the goods in the market. The estimation of attitude is based on the bidding items attribute assessment, which adapts the fuzzy sets technique to handle uncertainty of the bidding process as well it uses heuristic rules to determine attitude of bidding agents. The bidding strategy also uses and determines competition in the market (based on the two factors i.e. no. of the bidders participating and the total time elapsed for an auction) using Mamdanis Direct Method. Then the final price of the best bid will be determined based on the assessed attitude and the competition in the market using fuzzy reasoning technique.

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http://hdl.handle.net/10453/11933