Negotiating Multi-Issue e-Market Auction through Fuzzy Attitudes

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