Agent bidding strategy and simulation in double auctions

As the highly autonomous software entity, agent has been used to implement complex systems. This paper develops two different bidding strategies that guide agent's buying and selling behavior in a double auction, and simulates auction market by using the multi-agent development kit and Matlab platforms. Through the comparison of simulation results under those different strategies, we find that the profit of agents using fuzzy logic strategy is more than that of agents using evolution-bidding strategy.