4.8 • 4.4K Ratings
🗓️ 1 January 2024
⏱️ 70 minutes
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Octopuses, artificial intelligence, and advanced alien civilizations: for many reasons, it's interesting to contemplate ways of thinking other than whatever it is we humans do. How should we think about the space of all possible cognitions? One aspect is simply the physics of the underlying substrate, the physical stuff that is actually doing the thinking. We are used to brains being solid -- squishy, perhaps, but consisting of units in an essentially fixed array. What about liquid brains, where the units can move around? Would an ant colony count? We talk with complexity theorist Ricard Solé about complexity, criticality, and cognition.
Blog post with transcript: https://www.preposterousuniverse.com/podcast/2024/01/01/260-ricard-sole-on-the-space-of-cognitions/
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Ricard Solé received his Ph.D. in physics from the Polytechnic University of Catalonia. He is currently ICREA research professor at the Catalan Institute for research and Advanced Studies, currently working at the Universitat Pompeu Fabra, where he is head of the Complex Systems Lab. He is also an External Professor of the Santa Fe Institute, Fellow of the European centre for Living Technology, external faculty at the Center for Evolution and Cancer at UCSF, and a member of the Vienna Complex Systems Hub. He is the author of several technical books.
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0:00.0 | Hello everyone. Welcome to the Mindscape Podcast. I'm your host Sean Carroll. You all know if you're a listener here that I am on the complexity bandwagon. I think that complex systems are really interesting. I mean maybe that's just kind of obvious. Maybe |
0:15.0 | everyone thinks complex systems are interesting. The question is can we make |
0:19.0 | progress thinking about complexity in and of itself. |
0:23.1 | In other words, there is a human being, here is an economy, |
0:27.4 | here is the Milky Way Galaxy. |
0:29.2 | These are three complicated systems. Do they have anything in common? Does it make sense to study the idea |
0:37.4 | of complexity as a field of study rather than just studying the individual examples of it separately. |
0:44.9 | So I think that it does make sense and I think that we don't have the answers yet. |
0:49.9 | We don't have a fully fleshed out theory for how best to think about complexity. |
0:54.8 | I did the recent podcast with David Crackower where I suggested that maybe we should think |
0:58.8 | of complexity science as pre-paradigmatic. |
1:02.4 | He didn't like that. He says he thinks that there's a paradigm out there which is great it's |
1:06.6 | great that people disagree about this I mean maybe we actually agree on the |
1:10.1 | substance or just slightly disagreeing about the words. |
1:13.6 | But one way you can make progress on thinking about complexity is to really narrow in on a particular |
1:19.2 | kind of complex system and study it from all angles. And if that's true, then what |
1:26.2 | better kind of complex system to study than the brain or not just the human brain |
1:31.5 | in its biological specificity, but the idea of an intelligent brain. |
1:37.0 | Okay? So of course you can study the brain, you can be a neuroscientist, etc, etc. |
1:41.0 | But you can also take a step back. You can abstract. You can say, okay. etc. |
1:43.0 | But you can also take a step back. You can abstract. You can say, okay, I think that a human brain is intelligent. |
1:48.0 | It has thoughts. It does reasoning. |
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