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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…
cs.AI2025
Causal Autoencoder-like Generation of Feedback Fuzzy Cognitive Maps with an LLM Agent
Akash Kumar Panda, Olaoluwa Adigun, Bart Kosko
A large language model (LLM) can map a feedback causal fuzzy cognitive map (FCM) into text and then reconstruct the FCM from the text. This explainable AI system approximates an id…