Summary of Structured Active Inference (extended Abstract), by Toby St Clere Smithe
Structured Active Inference (Extended Abstract)
by Toby St Clere Smithe
First submitted to arxiv on: 7 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Category Theory (math.CT)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper introduces structured active inference, a significant extension of active inference using categorical systems theory. The authors cast generative models as “systems on an interface” with agents acting as controllers, enabling the development of new types of intelligent systems. This framework facilitates the creation of agents that interact with computer APIs, manage other agents, and even adapt their own structure through self-modification. The paper also explores the use of categorical logic to formalize agents’ goals, paving the way for compositional tools to constrain and control complex agent ensembles. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study takes active inference to a new level by using categorical systems theory. Imagine an intelligent system that can adapt its own behavior or even change its internal structure based on external information. The researchers create a framework where agents interact with computer interfaces, manage other agents, and make decisions about their own goals. This could lead to more advanced artificial intelligence that can work together safely. |
Keywords
* Artificial intelligence * Inference
