Autonomous Adaptive Agents for Single Seller Sealed Bid Auctions
Autonomous Agents and Multi-Agent Systems
Evolutionary optimization of ZIP60: a controlled explosion in hyperspace
Proceedings of the 8th annual conference on Genetic and evolutionary computation
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
Adaptive Adjustment of Starting Price for Agents in Continuous Double Auctions
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Evolutionary optimization of ZIP60: a controlled explosion in hyperspace
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
Strategic software agents in continuous double auction under dynamic environments
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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Business-to-business (B2B) exchanges provide opportunities for companies to streamline their supply chains in dynamic business situations, but they also create new management challenges. Managers are faced with more frequent buying and selling decisions, more available information, and even new problems such as speculation. Due to these new challenges, trading support systems will play an important role in helping companies to achieve maximum pro.ts in B2B exchanges. In this paper, we focus on providing support for two core capabilities, bidding and speculating, in the context of B2B exchanges with Continuous Double Auctions (CDA). Our work extends previous research on biding agents to more dynamic and realistic B2B exchange situations where both demands and supplies change from period to period. Changes in demand and supply cause price fluctuations and motivate companies to speculate on inventory. The action of speculation is one fundamental aspect of exchanges in general, and is the main way in which B2B exchanges can hedge against costly shortages. We develop a multi-agent system in which a speculation agent makes speculation decisions for a given buyer or seller and interacts with a set of bidding agents. The related algorithms are discussed in detail. We also propose a theoretical model for the economic equilibrium in this dynamic situation. Under various market conditions, the experiments show that our system significantly increases the overall profit of the entire market.