Complexity and bidder behavior in iterative auctions
We extend the finite automata approach to evaluate complexity of strategies in iterative adjustment processes such as auctions. Intuitively, a strategy's complexity is equal to the number of different contingencies in which qualitatively different behaviors are prescribed. Complexity may explain bidder choice of strategies in multi-unit iterative auctions.
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Volume (Year): 31 (2011)
Issue (Month): 4 ()
Pages: 2769-2776
| Handle: | RePEc:ebl:ecbull:eb-11-00040 |
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