A Trained Fuzzy Expert System to Detect Emergent Behavior

The concept of emergence has gained attention due to its relevance in understanding complex systems, its cross-disciplinary nature, advancements in computational tools, challenges to reductionism, its connections to artificial intelligence and machine learning, philosophical implications, and potential real-world applications. As our understanding of emergent phenomena grows, it continues to shape our perspective on how the world works at various scales. In this article, we propose a novel method for detecting emerging behavior in a multi-agent system based on a fuzzy expert system. In addition, The article explores how interactions can be used as a metric to identify emergent behaviors in the Boids model and outlines the initial effects of a three-step process: (1) Representation and acquisition of simulation data,(2) Building a fuzzy expert system,(3)Learning process and emergence detection. Since this is a part of ongoing research, future direction is also discussed.