Session details
Date: Sep 19, 2023
Series: Parr, Pezzulo, Friston 2022 Textbook Cohort 4, Chapter 6 part 1
Paper: Active Inference: The Free Energy Principle in Mind, Brain, and Behavior
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Parr, Pezzulo, Friston 2022 Textbook Cohort 4, Chapter 6 part 1
Sep 19, 2023
▶ Watch on YouTube ↗Date: Sep 19, 2023
Series: Parr, Pezzulo, Friston 2022 Textbook Cohort 4, Chapter 6 part 1
Paper: Active Inference: The Free Energy Principle in Mind, Brain, and Behavior
Transcript
The full transcript is available on GitHub. This excerpt is generated by automated speech recognition and may contain errors.
all right welcome back everyone we're in cohort 4 of active inference textbook group and picking up on the second round of activity over the last few months in cohort 4 some of you were there there were some people who were not there who are here now and vice versa we went through the first five chapters and now in this last three months of of 2023 we're going to head through the second half of the book so before we like go into anything even remotely active conceptual does anyone just want to share like where did the first half of the book leave them Andor what are they excited about in the second half of the book for this interval or any questions that are kind of guiding people's curiosity and learning Journeys I thought that this was the first meeting for cohort 5 but I'm it works for me yeah just just briefly to that note [Music] um it's every Tuesday there's a cohort five and a cohort four and they're like an alternating times so sometimes people just join whichever time is more convenient for them but either way it's all recorded it's all here it's all the same textbook and it's many Cates of paint so there's like literally no reason to even read one chapter before another in fact chapter six is a very great entry point in certain ways excellent I'll probably come to both anyway cool Smail and then anyone else who wants to raise their hand my my question is about our Discord group uh long time I'm looking for uh some mass group for learning but I don't know um I can't find uh there is some group about mathematic in the Discord or no now is stopped um so you're referencing the math learning group there's no special place in Discord this this math learning group it just kind of like it's like a team name that if there's people who are motivated to like pick up that banner and commit to doing some organizing like say I will be here weekly to do this and that or here's where we're going to take notes people are welcome to do that so it's just kind of like there for people who would love to see it be there but we're not doing anything further and it's not like there's like another Forum or anything like that everybody who registered is added to all the calendar events and this is the shared document for everything yeah thanks but yeah where does the first half of the book leave us and then how do we set an intention or what is exciting about the second half of the book yeah mail or anyone else uh I thought the first half was pretty comprehensive um and I do I like your description of many coats of paint because it is like like each chapter you are going over a lot of things that you covered in a different way in the previous chapter but in a sort of new light um and I do Wonder like you know how that will come back up like a lot of the concepts will come back up when we're sort of Designing the models which I think like the next half is more focused on like actual applications um and I'd say you know there are certain things I want to like go back over on myself just later in the previous chapters especially like message passing and more of the neurobiology stuff which I uh am very interested in but um I'm not as familiar as like maybe just some of the regular like beian statistics aspects of it cool thank you yeah again anyone can raise their hand or write anything just to recap though the first five chapters the author say is the epistemic or the learning part and that's where the kind of what is active inference is covered first there's a context provided then the low and the high road are gone through low road is how that's basian statistics the high road is why that's that persistence imperative chapter four goes into the generative models of active inference which exactly what the second half of the book is about applying however chapter 4 gives a pretty long and comprehensive treatment of what a generative model is and then chapter five studies the setting where the most generative models have been constructed and…