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arXiv AI By Manuel Baltieri, Filippo Torresan, Yivan Zhang, Alexander Boyd, Fernando E. Rosas

World models of environment, agent and joint agent-environment systems

Read the original on arXiv AI →

The paper introduces a framework that distinguishes world models by the channel they represent—environment, agent, or joint agent‑environment—using computational mechanics to define canonical predictive models as ε-transducers or ε-machines. It shows how closed‑loop coupling induces support‑restricted models whose states factor through the joint causal states, and demonstrates with a POMDP example that such restriction can reduce an otherwise infinite‑state environment model to a finite one.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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