Summary of A Concise Mathematical Description Of Active Inference in Discrete Time, by Jesse Van Oostrum et al.
A Concise Mathematical Description of Active Inference in Discrete Time
by Jesse van Oostrum, Carlotta Langer, Nihat Ay
First submitted to arxiv on: 11 Jun 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Neurons and Cognition (q-bio.NC)
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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 The paper presents a concise mathematical description of active inference in discrete time, offering a basic introduction to the topic along with a detailed example illustrating the theory on action selection. The authors aim to provide a precise and accessible explanation of the mathematical details for readers familiar with the active inference literature but struggling to grasp the derivations. They achieve this by adopting standard notation and linking equations to corresponding equation numbers in popular texts on the topic. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper explains how our brains make decisions based on what we think will happen next, using math and computer code. The main idea is that when we make a choice, it’s because we predict that choice will lead to a better outcome. The authors show how this works in simple terms, with an example of choosing between two options. They also provide the exact math equations and a Python program that does the same thing. |
Keywords
» Artificial intelligence » Inference
