Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 134 tok/s
Gemini 2.5 Pro 41 tok/s Pro
GPT-5 Medium 40 tok/s Pro
GPT-5 High 38 tok/s Pro
GPT-4o 103 tok/s Pro
Kimi K2 200 tok/s Pro
GPT OSS 120B 438 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Finitely Bounded Homogeneity Turned Inside-Out (2108.00452v10)

Published 1 Aug 2021 in cs.LO and math.LO

Abstract: The classification problem for countable finitely bounded homogeneous structures is notoriously difficult, with only a handful of published partial classification results, e.g., for directed graphs. We introduce the Inside-Out correspondence, which links the classification problem, viewed as a computational decision problem, to the problem of testing the embeddability between reducts of countable finitely bounded homogeneous structures. On the one hand, the correspondence enables polynomial-time reductions from various decision problems that can be represented within the embeddability problem, e.g., the double-exponential square tiling problem. This leads to a new lower bound for the complexity of the classification problem: $\mathsf{2NEXPTIME}$-hardness. On the other hand, it also follows from the Inside-Out correspondence that the classification (decision) problem is effectively reducible to the (search) problem of finding a finitely bounded Ramsey expansion of a countable finitely bounded homogeneous structure. We subsequently prove that the closely related problem of homogenizability is already undecidable.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube