The Supply Chain Management track of the international trading Agents Competition (TAC ACM) provides a challenging scenario for existing AI decision-making algorithms, due to the high dimensionality and the non-determinism of the environment. Our entry in this competition, RedAgent, is centered around the idea of using an internal market in order to determine what products to focus on and how to allocate the existing resources. This simple design provided a very efficient search mechanism, while at the same time producing price estimates for components, as well as bidding estimates on customer orders.
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Keller et al. (2004) studied this question.
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