Title :
Applying evolutionary game theory to auction mechanism design
Author_Institution :
HP Labs, Bristol, UK
Abstract :
We describe an evolution-based method for evaluating auction mechanisms, and apply it to a space of mechanisms including the standard first-price and second-price sealed bid auctions. We replicate results known already in the auction theory literature regarding the suitability of different mechanisms for different bidder environments, and extend the literature by establishing the superiority of novel mechanisms over standard mechanisms, for commonly occurring scenarios. Thus this paper simultaneously extends auction theory, and provides a systematic method for further such extensions.
Keywords :
costing; electronic money; electronic trading; evolutionary computation; game theory; auction mechanism design; auction mechanism evaluation; auction theory; autonomous agents; bidder environment; evolution based method; evolutionary game theory; first-price sealed bid auction; genetic algorithm; mechanism suitability; multiagent allocation problem; second-price sealed bid auction; systematic method; Algorithm design and analysis; Autonomous agents; Design automation; Environmental economics; Game theory; Genetic algorithms; Humans; Marketing and sales; Multiagent systems; Process design;
Conference_Titel :
E-Commerce, 2003. CEC 2003. IEEE International Conference on
Print_ISBN :
0-7695-1969-5
DOI :
10.1109/COEC.2003.1210270