Negotiating multi-issue e-market auction through fuzzy attitudes

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Conference Proceeding
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
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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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