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Parr, Pezzulo, Friston 2022 Textbook Cohort 1, Chapter 2

Textbook Group meeting for Parr, Pezzulo, Friston 2022 .

May 26, 2022

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Session details

Date: May 26, 2022

Series: Parr, Pezzulo, Friston 2022 Textbook Cohort 1, Chapter 2

Paper: Active Inference: The Free Energy Principle in Mind, Brain, and Behavior

bayesian surprise

Transcript

AI-generated transcript excerpt

The full transcript is available on GitHub. This excerpt is generated by automated speech recognition and may contain errors.

Hello everyone, it's May 26th, 2022. It's the fourth week of the first cohort of the ACTIM textbook group. We're in our first discussion of chapter two. Today we're going to go over the questions that are posted for chapter two. Then we'll see where that takes us and what ideas of the book have been explored and that'll be the main focus. Also, just a note on the math learning group. Those meetings have been occurring on 19 UTC on Wednesdays and so in the math learning group you'll find information about how to participate. You'll find and be able to edit resources on learning different topics. So this is a really helpful activity if people want to share the resources that help them learn about different ideas and that'll help people search for a video about this. We have a notation table that will help us as we start to look at the notation more. There's some math learning basic questions like around math. Anything related to the textbook content can go in the main questions. Math learning group is part of the real textbook group. So these are not the questions to be answered like the other ones that we're going to go to are, but this is just about math. And then also there's some math oriented overviews like I wrote this summary of the first two-thirds of chapter two. So if people want to be like continuing to distill and represent what they're learning and what they're asking, that's all good. Okay. Any other notes that anybody wants to add before we start to go into the questions? You can raise your hand or you can type it in the chat. Okay. So we're in the first week of discussing chapter two, the low road to active inference. So just to kind of warm us up, what is the low road? Okay. Yeah. The low road is the Bayesian brain approach right here. It's the like proximate next, like big concept, I guess, previous. But it's kind of based on, I guess, yeah, I mean, you'd see right in the picture, like it's based on Bayesian. It's like mathematical. The way I conceptualize it is like literally, you know, the low road, meaning like very primitive, very mathematical, very like hyper analytical, foundational kind of an analysis way of looking at it. I guess that's not necessarily living or anything like that. Whereas the high road is kind of more about the other side of that. Okay. So we're going to be learning about the high road and the low road. Those are the two paths that are offered in chapter two and three of the book. So hopefully again, like it would be awesome to have as many people as possible speak and feel welcome to share their views during this session. So everyone is especially encouraged to put questions or comments in the chat or raise their hand to speak. Or find other times to have synchronous communications and especially to make contributions to the the platform. But really appreciate that everyone has come out to go through these discussion questions. So we're going to now go to the questions that have been placed into the questions table. And just the more questions, the better. They can be super short. It can be anything that you're having uncertainty about. If you come across a table or a figure or a sentence in the text and you have a question, please write the question down. It will be extremely, extremely helpful. It doesn't have to be with extensive references or citations. It can just be, what did this mean? If you're uncertain about something. And then if you were certain about it, you could still write a question like, what would you ask somebody to test or to understand what they understood about it? Okay. So we're going to start with this first most upvoted question. But there's still time in this session and also till next week in our next session on Chapter 2 to add more questions if you wrote them down somewhere else and also to upvote questions. But we're just going to start with the most interestingly voted questions. So what does anyone see in table 2.1 and what are support and surprise? Mike,…