# Converting Sequenced Fuzzy Cognitive Maps to Causal Virtual Worlds with Large Video Generators

arXiv: https://arxiv.org/abs/2609.14985 · HTML: https://mlsanity.com/paper/2609.14985/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 15 references that are in the map.
- First posted on arXiv 14 Sep 2026.

## Builds on (most cited first, 2 of 2)

- [Causal Autoencoder-like Generation of Feedback Fuzzy Cognitive Maps with an LLM Agent](https://mlsanity.com/paper/2509.25593/) (2025)
- [Agentic Chunking and Bayesian De-chunking of AI Generated Fuzzy Cognitive Maps: A Model of the Thucydides Trap](https://mlsanity.com/paper/2605.17903/) (2026)

## Abstract (arXiv)

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 (FCMs) both to model the granular causal structure of the virtual world and to guide its causal evolution. The local causal rules are partial or fuzzy while the FCM's feedback structure produces global equilibria that define causal scenarios. A sequence of dynamical meta-rules of the form ``If A then B" define the causal scenes of the virtual-world video. The if-part causal pattern A perturbs the FCM's virtual world at the user's or agent's discretion. The FCM's transient feedback dynamics define the meta-rule's causal arrow of implication. The then-part B is the resulting equilibrium attractor such as a FCM limit cycle or fixed point. Our algorithm extracts these meta-rules from the FCM and guides the LLM agent to write a script based on the FCM meta-rule sequence. The large video generator converts the meta-rule into a video scene in accord with the flow of the dynamics. We applied the agent-based technique to a simple FCM that describes an undersea world of dolphins and sharks. Google's Gemini 3.1 generated the script and Google's Veo 3.1 generated the dolphin-shark video. The approach is general and can scale by mixing larger FCMs and AI agents to produce more immersive virtual worlds.