Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Decentralized supply chain formation: a market protocol and competitive equilibrium analysis
Journal of Artificial Intelligence Research
Bidding languages and winner determination for mixed multi-unit combinatorial auctions
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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The max-sum loopy belief propagation (LBP) algorithm was shown in [4] to produce strong results in a simple decentralised supply chain formation (SCF) scenario where goods are traded in single units. In this paper, we demonstrate the performance of LBP in a multi-unit SCF scenario with additional constraints. We also provide experimental analysis of LBP's performance in dynamic scenarios where the properties and composition of participants are altered while the algorithm is running. Our results suggest that LBP continues to produce strong solutions in multi-unit scenarios, and that performance remains solid in a dynamic setting.