Bidding strategy for agents in multi-attribute combinatorial double auction

作者：

Highlights：

• Effective bidding in multi-attribute combinatorial double auction is complex.

• A traded package in the history of the market does not reveal any unit price of the items.

• Bidders should predict their true desired combination and quantity of items.

• The proposed strategy is a personality- and market-based extension to MPT, FFM, mkNN, and MAUT.

• It is simulated in a proposed test suite against benchmark strategies.

摘要

•Effective bidding in multi-attribute combinatorial double auction is complex.•A traded package in the history of the market does not reveal any unit price of the items.•Bidders should predict their true desired combination and quantity of items.•The proposed strategy is a personality- and market-based extension to MPT, FFM, mkNN, and MAUT.•It is simulated in a proposed test suite against benchmark strategies.

论文关键词：Bidding strategy,Bundling,FFM of personality,Markowitz Portfolio Theory,mkNN learning algorithm,Multi-attribute combinatorial double auction,Packaging,Test suite

论文评审过程：Available online 15 December 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.12.008