Textbook Group meeting for Parr, Pezzulo, Friston 2022 .

okay welcome back Arts of cohort 7 um we're in Three so beginning in three is there anything that anybody wants to begin with like any overall thought on three or any any place to start I guess I was a bit a bit slow with the uh with the recap of the the chapter here but one one thing at least that I uh thought a bit about while reading it was and I guess uh not unique to this chapter but the proceeding ones as well is the interesting connection to other domains and mention like the the physics and activism and cybernetics and all of these different ideas and also like how it seems as if active inference has evolved over time and emerged from all of these ideas and like the connection between it which I U I I think seems very I think it's very interesting and um I was just wondering if there are any Resources with with someone that has like uh mapped up the connections and perhaps like Evolution over of of the ideas over over in history uh so that you can get like a good overview of of of how how this has evolved and it's connected to other areas and perhaps like even what different assumptions and applications go into it yeah that's a great suggestion I mean the you mentioned kind of like a um historiography like bibliography tracing but then also like the claims and the rhetorical assertions and understanding what which claims um transferred it also kind of reminded me of this um I I'll I'll put it here but this in the complexity Sciences this one graph I mean even even though it's just one partial representation becomes quite popular even though it's just a subsample of the tip of the iceberg of one person's representation of one way to view it but but then it does give some coherence um even just from chapters 1 and 10 of the textbook it could be possible to um pull out some of these kinds of threads and then yeah that Beal and it's like how different would it really be from active inference mathematics of complexity systems and complex systems Network science cybernetics maybe there's information Theory here somewhere artificial intelligence so agent based modeling so I think it would it would it would have a lot of similarities to this but but I I agree yeah yeah super cool I'll check that link out um I guess it has some some resources resources in the in the book like the table 3.1 for instance but also from like chapter 2 the figure um which one is it 2.6 as well which I think have like quite nice connections to one um kind of uh history crossover moment from uh from the last Friday this uh model stream 13 synthesizing the born rule with reinforcement learning so they're coming from a um Quantum measurement empiric IAL setting and then as they started to relax certain assumptions and try to generalize the born rule they got into the generalized sensory motor interface and the sort of generalized cognitive setting so that's like a low road generalization and so we had some interesting um crossover moments were like they were they're in the labor measuring these Quantum collapses and then they've converged upon where from active inference it it generalized into the quantum over the last several years but then so there could be cool ways to go [Music] um any other random thoughts on three or or the high road I mean that's kind of what three is about one just opens the book just like 10 closes the book two took us on the low road now three is going to start from up here and come back down to active inference so that we're we we get off the slide of chapter three and we end up right a chapter four where we finally see the active inference generative model but yeah any thoughts on high road three like just to kind of illustrate that um yeah yeah good good the um to me I mean it's almost like we're just creating a more granular structure around the Socratic method how so uh we've got you know agents in an environment and they're um asking questions about the environment and receiving a response from their environment and…