Business logistics
A new study from Jiangsu University in China has discovered that government incentive subsidies can effectively promote cooperation between logistics service integrators and providers. Researchers employed evolutionary game theory to model dynamic interactions in logistics service supply chains (LSSCs), finding that government incentives can facilitate fair distribution of internal revenue
Game theory
Scientists at the Georgia Institute of Technology have discovered limitations in differential dynamic games (DDG) that often result in non-unique and infinite Nash Equilibria (NE). The study highlights the need for a novel framework to address the equilibrium coordination problem, which can lead to cost inefficiencies and catastrophic outcomes. Researchers
Game theory
Scientists at the Georgia Institute of Technology have discovered limitations in differential dynamic games (DDG) that often result in non-unique and infinite Nash Equilibria (NE). The study highlights the need for a novel framework to address the equilibrium coordination problem, which can lead to cost inefficiencies and catastrophic outcomes. Researchers
Robotics
Scientists at the Georgia Institute of Technology have discovered limitations in differential dynamic games (DDG) that often result in non-unique and infinite Nash Equilibria (NE). The study highlights the need for a novel framework to address the equilibrium coordination problem, which can lead to cost inefficiencies and catastrophic outcomes. Researchers
Emissions (Pollution)
Researchers at Wenzhou University have developed a dynamic emission reduction decision model involving Chinese-funded enterprises, foreign-funded enterprises, and host-country enterprises to achieve carbon neutrality. The study, supported by the National Office of Philosophy and Social Sciences, compares and analyzes the emission reduction trajectories of each participant under different third-party market
Artificial intelligence
Research conducted at St. Petersburg State University has described and investigated the Explainable Artificial Intelligence (XAI) methods based on the Shapley value, one of the most well-known imputation concepts in cooperative game theory. The study aimed to identify the importance of features when building statistical and machine learning models, analyzing
