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cs.AI2026
Converting Sequenced Fuzzy Cognitive Maps to Causal Virtual Worlds with Large Video Generators
Akash Kumar Panda, Olaoluwa Adigun, Bart Kosko
We show how users can create and manipulate causal virtual worlds with large-language-model (LLM) and large-video-model agents. The approach uses feedback fuzzy cognitive maps (FCM…
cs.AI2026
Agentic Chunking and Bayesian De-chunking of AI Generated Fuzzy Cognitive Maps: A Model of the Thucydides Trap
Akash Kumar Panda, Olaoluwa Adigun, Bart Kosko
We automatically generate feedback causal fuzzy cognitive maps (FCMs) from text by teaching large-language-model agents to break the text into overlapping chunks of text. Convex mi…
cs.AI2026
The Agentic Leash: Extracting Causal Feedback Fuzzy Cognitive Maps with LLMs
Akash Kumar Panda, Olaoluwa Adigun, Bart Kosko
We design a large-language-model (LLM) agent system that extracts causal feedback fuzzy cognitive maps (FCMs) from raw text. The causal learning or extraction process is agentic bo…