in you know the main theme of this first paper is i've tried to lay out a world view that is cognizant of that reflects some of the latest developments 01:03:14 in in science and in a variety of fields and sciences in those fields would be like complex system science cognitive science evolutionary biology 01:03:28 uh in a you know a few fields like that information theory and a few things like that i i've tried to to outline a a a world view that makes sense 01:03:42 from that leading edge of science and i would say too that that science has gone through really kind of a revolution you know there was like it's kind of like there's the pre-1950s 60s science and then there's 01:03:56 what we have today and there's enormous jumps enormous leaps in understanding that have happened just in the last say 50 years or so and and and some of those leaps the 01:04:09 ramifications are only now being you know the they're now being felt right the the the the some of the concepts are a a distinct shift 01:04:20 from where we were in the you know the pre-1960s or pre-1970s or so and um obviously we there's also you know we we see the changes in our 01:04:34 lifetime you know like we i was watching an old show on tv the other day and somebody put money in a pay phone you know like they put a quarter and a pay phone to make telephone call and it's like okay well that's that's that's that's history you know so 01:04:48 there's all these technologies that have that are that are that i grew up with that are not they don't even exist anymore they've been replaced by entirely new frameworks and that's the speed of those of the speed of that 01:05:00 evolution is is exponential so it's tremendous changes happening very quickly and the task of the program oh yeah which one put on that would be 01:05:12 um potentially because you're taking such a broad perspective with complex system science and evolutionary bio you might say that society has always been a cognitive architecture but if you had asked in 01:05:25 1500 is society a cognitive architecture be like well no i mean you have agriculture you have this you have this you have that whereas now if you tell people hey telecoms are they run through everything and the internet of 01:05:38 things the internet people you know like all this sort of stuff you tell people actually it's a multi-scale cognitive architecture humans are in the loop and our algorithms are never independent from us they're in feedback with us it's like 01:05:50 yeah that was what the mainstream was telling me so actually it's a total alignment point because it reflects how rapidly things are changing that it's just undeniably obvious that the 01:06:02 communication infrastructure is the system that we're engineering right right absolutely yeah yeah communications have mind-blowing changes and communications and and that brings mind-blowing changes and 01:06:14 outlook but but i want to emphasize a few points to this worldview that that you know it's not it's not just that everything is connected like you know you go like i know what a complex system is it just means everything is connected and we're 01:06:27 all kind of whole and blah blah okay fine but but even for people who are in that ilk you know who understand the the basic concept there there's ideas 01:06:40 that are that have come out in the last decade or so that that are there that are even pushing that boundary you know right and and i just want to highlight a few concepts here and i think active inference really is 01:06:52 playing a you know is is like a in a sense a culmination of some of some of these ideas or an embodiment of some of these ideas the main thing i want to say is that life is intelligent 01:07:06 and whole so it's not just that everything's connected it's that everything is intelligent everything is a lot you know life is an intelligent information processing 01:07:20 thing everything is is is adapting learning deciding whether we're talking about everything is cognitive 01:07:33 you know and cognition really implies information and information processing so whether we're talking about a slime mold or a human you know there's there's in in everything in plants in 01:07:46 bacteria in mold and anything that has any life at all that can be considered alive is intelligent and is learning and reacting not just reacting but learning 01:07:58 reacting and also deciding and acting and remembering and all those things and you might ask well you know that's impossible bacteria doesn't have a brain you know it can't be it can't be cognitive but it is 01:08:14 cognitive but we just have to relax what we how we define cognition you know and when on the slide i have a little thing there that every organism 01:08:25 is cognitive in the sense that it displays capacities typically associated with human cognition such as sensing learning problem solving memory storage and recall
First paper deals with worldview, and focuses on extending the concept of cognition to all forms of life, not just humans and other traditional higher forms of life that have this traditional attribute of cognition.
