The Agentic Leash: Extracting Causal Feedback Fuzzy Cognitive Maps with LLMs

This paper introduces "The Agentic Leash," a method for extracting causal feedback fuzzy cognitive maps using Large Language Models (LLMs). This approach enables better interpretability and understanding of complex systems and decision-making processes, particularly in human-computer interaction and knowledge representation, with applications in various domains.