An adaptive bidding agent for multiple English auctions: a neuro-fuzzy approach

This work presents the design, implementation and evaluation of a novel bidding strategy for obtaining goods in multiple overlapping English auctions. The strategy uses fuzzy sets to express trade-offs between multi-attribute goods and exploits neuro-fuzzy techniques to predict the expected closing...

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Bibliographic Details
Published in2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542) Vol. 3; pp. 1519 - 1524 vol.3
Main Authors Minghua He, Jennings, N.R., Prugel-Bennett, A.
Format Conference Proceeding
LanguageEnglish
Published Piscataway NJ IEEE 2004
Subjects
Application software
Applied sciences
Artificial intelligence
Computer science
Computer science; control theory; systems
Cost accounting
Exact sciences and technology
Fuzzy reasoning
Fuzzy sets
Helium
Monitoring
Performance evaluation
Robustness
Software agents
Fuzzy logic
Multiagent system
Bidding
Neural network
Fuzzy set
Intelligent agent
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Summary:This work presents the design, implementation and evaluation of a novel bidding strategy for obtaining goods in multiple overlapping English auctions. The strategy uses fuzzy sets to express trade-offs between multi-attribute goods and exploits neuro-fuzzy techniques to predict the expected closing prices of the auctions and to adapt the agent's bidding strategy to reflect the type of environment in which it is situated. We show, through empirical evaluation against a number of methods proposed in the multiple auction literature, that our strategy performs effectively and robustly in a wide range of scenarios.
ISBN:9780780383531
0780383532
ISSN:1098-7584
DOI:10.1109/FUZZY.2004.1375400