's pro-environmental behavior? This study aims to develop a dynamic model of mutual learning in social networks to simulate … two policy measures: enhancing pro-environmental behavior of target people and changing the learning patterns of target … learning patterns is much more effective for enhancing the degree of pro-environmental behavior in social networks than trying …

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL …) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, one of which is deterministic without the … technological shock and the other is stochastic. The objective of the deterministic environment is to compare the learning agent …

21st century career development is increasingly characterized by recurring participation in work-related skill learning …, much of which is mediated by technology. However, integration of this technology into work-related lifelong learning … contexts has been relatively atheoretical and non-systematic. Building on interdisciplinary adult learning research and our …

pressing in the area of "learning in organizations" as businesses have become ever more "knowledge-based." There is now an … facilitate the design of work environments and practices. Learning from Work directly addresses this growing workplace need by … are only loosely coupled to the manufacturers) make the barriers to communication and learning quite high, and make the …

learning and policy recommendation in advisory committees. We quantify the effectiveness of advisory panels, and evaluate …