Decision making

Machine learning

Artificial Neural Networks: Modeling Natural Neural Networks of Decision Making with Artificial Neural Networks

Researchers at the University of Tokyo have made significant progress in understanding the relationship between decision making and various brain regions using artificial neural networks (ANNs). By integrating neuronal activity in mice with RNN-based artificial units, they have developed a real-cyber hybrid network that generates continuous-time body movements more accurately

Environmental sustainability

Sustainable Edge Computing in IIoT: Researchers Develop Hierarchical Multi-Agent Federated Actor-Critic Algorithm

Researchers at the School of Computer Science and Engineering have developed a novel approach to sustainable edge computing in Industrial Internet of Things (IIoT) environments. The Hierarchical Multi-Agent Federated Actor-Critic (HMAFAC) algorithm integrates hierarchical reinforcement learning with multi-agent federated learning to enhance decision-making in dynamic edge computing environments. This innovative

Environmental sustainability

Disconnection Between Ecological Sustainability and Financial Decision-Making: A Persistent Challenge in Environmental Restoration Efforts

Research published in the journal Ecological Indicators has highlighted the pressing issue of disconnection between ecological sustainability and financial decision-making in managing environmental restoration efforts. A study conducted by researchers from Tianjin University aimed to evaluate how financial assistance for ecological restoration contributes to improvements in grassland vegetation coverage, an