Strategic interactions in a supply chain game

被引:34
|
作者
Wellman, MP [1 ]
Estelle, J [1 ]
Singh, S [1 ]
Vorobeychik, Y [1 ]
Kiekintveld, C [1 ]
Soni, V [1 ]
机构
[1] Univ Michigan, Artificial Intelligence Lab, Ann Arbor, MI 48109 USA
关键词
trading agents; supply chain management; strategic reasoning; empirical game theory;
D O I
10.1111/j.0824-7935.2005.00263.x
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The TAC 2003 supply-chain game presented automated trading agents with a challenging strategic problem. Embedded within a high-dimensional stochastic environment was a pivotal strategic decision about initial procurement of components. Early evidence suggested that the entrant field was headed toward a self-destructive, mutually unprofitable equilibrium. Our agent, Deep Maize, introduced a preemptive strategy designed to neutralize aggressive procurement, perturbing the field to a more profitable equilibrium; it worked. Not only did preemption improve Deep Maize's profitability, it improved profitability for the whole field. Whereas it is perhaps counterintuitive that action designed to prevent others from achieving their goals actually helps them, strategic analysis employing an empirical game-theoretic methodology verifies and provides insight about this outcome.
引用
收藏
页码:1 / 26
页数:26
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