Artificial Intelligence and Multi-Agent Approaches for Decision-Making and Business Process Optimization in Industrial Systems
This study develops a conceptual and simulation-based framework for intelligent decision-making and process optimization in mineral processing systems. The framework integrates artificial intelligence, multi-agent coordination, adaptive control, and digital twins to support real-time optimization under uncertain and va...