Using Agents' Attitudes And Assessments In Fuzzy Bidding Strategy

Institute for Systems and Technologies of Information, Control
Publication Type:
Conference Proceeding
Proceedings of First International Conference on Agents and Artificial intelligence, 2009, pp. 385 - 391
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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.
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