Computationally Manageable Combinational Auctions
Management Science
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Artificial Intelligence
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IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
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Coalition Formation for Large-Scale Electronic Markets
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Negotiation among self-interested computationally limited agents
Negotiation among self-interested computationally limited agents
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Electronic Commerce Research and Applications
Coevolution of heterogeneous multi-robot teams
Proceedings of the 12th annual conference on Genetic and evolutionary computation
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This paper studies the dynamics of agent mediated combinatorial trading at the macroscopic level. The combinatorial marketplace consists of a retailer who wishes to sell bundles of items, and a large number of agents with different purchasing goals. These agents dynamically form coalitions to exploit the benefits of grouping based on their complementary needs. A novel physics based dynamic equation is proposed to capture the essence of the movements of agents among different sized coalitions. Simulation experiments are performed to study the global behavior of the agents and the effectiveness of the agent mediated combinatorial trading.