Active inference helps us simulate adaptive behavior and decision-making in biological and artificial agents. Building on our previous work exploring the relationship between active inference, well-being, resilience, and sustainability, we present a computational model of an agent learning sustainable resource management strategies in both static and dynamic environments. The agent's behavior emerges from optimizing its own well-being, represented by prior preferences, subject to beliefs about environmental dynamics. In a static environment, the agent learns to consistently consume resources to satisfy its needs. In a dynamic environment where resources deplete and replenish based on the agent's actions, the agent adapts its behavior to balance immediate needs with long-term resource availability. This demonstrates how active inference can give rise to sustainable and resilient behaviors in the face of changing environmental conditions. We discuss the implications of our model, its limitations, and suggest future directions for integrating more complex agent-environment interactions. Our work highlights active inference's potential for understanding and shaping sustainable behaviors.
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
Simon Fraser University（西蒙弗雷泽大学）；McGill University（麦吉尔大学）；The University of Hong Kong（香港大学）；Wild Salmon Center（野生鲑鱼中心）；Pacific Salmon Foundation（太平洋鲑鱼基金会）；Haida Fisheries Program（海达渔业计划）
Artificial intelligence for sustainable wine industry: AI-driven management in viticulture, wine production and enotourism
University of Szczecin（什切青大学）；Wroclaw University of Environmental and Life Sciences（弗罗茨瓦夫环境与生命科学大学）；University of Wroclaw（弗罗茨瓦夫大学）；WSB Merito University in Wroclaw（弗罗茨瓦夫WSB梅里托大学）；AGH University of Krakow（克拉科夫AGH大学）
Green Energy Management for Sustainable Data Centers Using Deep Reinforcement Learning
Computer Science and Applied Mathematics Laboratory (LIMA), Faculty of Science and Technology, Chadli Bendjedid University（计算机科学与应用数学实验室（LIMA），科学与技术学院，查德利·本杰迪德大学）；Mathematical Modeling and Numerical Simulation Laboratory (LAM2SIN), Faculty of Technology, Badji Mokhtar University（数学建模与数值模拟实验室（LAM2SIN），技术学院，Badji Mokhtar大学）；School of Business, Istanbul Medipol University（商业学院，伊斯坦布尔Medipol大学）；Department of Economics and Management, Khazar University（经济学与管理学院，Khazar大学）；University College, Korea University（大学学院，韩国大学）；Clinic of Economics, Azerbaijan State University of Economics (UNEC)（经济学诊所，阿塞拜疆国家经济大学（UNEC））；Department of Computer Science, Faculty of Technology, LRI Laboratory, Badji Mokhtar University（计算机科学系，技术学院，LRI实验室，Badji Mokhtar大学）
