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Patreon: / mlst Discord: / discord Pod version: https://anchor.fm/machinelearningstre... An emergent behaviour or emergent property can appear when a number of simple entities operate in an environment, forming more complex behaviours as a collective. If emergence happens over disparate size scales, then the reason is usually a causal relation across different scales. Weak emergence describes new properties arising in systems as a result of the low-level interactions, these might be interactions between components of the system or the components and their environment. In our epic introduction we focus a lot on the concept of self-organisation, complex systems, cellular automata and strong vs weak emergence. In the main show we discuss this in detail with Dr. Daniele Grattarola and cover his recent NeurIPS paper on learning graph cellular automata. Featuring; Dr. Daniele Grattarola Dr. Tim Scarfe Dr. Keith Duggar Prof. David Chalmers Prof. Ken Stanley Prof. Julian Togelius Dr. Joscha Bach David Ha Dr. Pei Wang [00:00:00] Special Edition Intro: Emergence and Cellula Automata [00:49:02] Intro to Daniele and CAs [00:57:23] Numerical analysis link with CA (PDEs) [00:59:50] The representational dichotomy of discrete and continous at different scales [01:05:21] Universal computation in CAs [01:10:27] Computational irreduciblity [01:16:33] Is the universe discrete? [01:20:49] Emergence but with the same computational principle [01:23:10] How do you formalise the emergent phenomenon [01:25:44] Growing cellula automata [01:33:53] Openeded and unbounded computation is required for this kind of behaviour [01:37:31] Graph cellula automata [01:43:40] Connection to protein folding [01:46:24] Are CAs the best tool for the job? [01:49:37] Where to go to find more information Thanks to our patrons! VIP patrons; Alex McNamara Ebonia Elliott-Lewis All access patrons; John Mitchell Konstantinos Barmpas And also; Federico Rios Francesco Puddu Ian Finley John Lukas Segelmark MarkMc Paul Oreto Philip Leggier Timothy O’Hear Łukasz Stafiniak References; (intro) Strong and Weak Emergence [Chalmers] http://consc.net/papers/emergence.pdf Weak Emergence [Bedau] http://people.reed.edu/~mab/papers/we... Complexity - a guided tour [Melanie Mitchell] https://www.amazon.co.uk/Complexity-G... https://en.wikipedia.org/wiki/Emergen... https://en.wikipedia.org/wiki/Reducti... The Case for Strong Emergence [Sabine Hossenfelder] https://philpapers.org/rec/HOSTCF-3 The Future of Artificial Intelligence is Self-Organizing and Self-Assembling [Sebastian Risi] https://sebastianrisi.com/self_assemb... Thanks to marknzed from Discord (main show) Learning Graph Cellular Automata [Grattarola] https://arxiv.org/pdf/2110.14237.pdf Grattarola article on GCA https://danielegrattarola.github.io/p... Dwarf Fortress https://procedural-generation.tumblr.... Growing Neural Cellular Automata [Alexander Mordvintsev] https://distill.pub/2020/growing-ca/ AlphaFold [Deepmind] https://www.deepmind.com/research/hig... Mandlebrot set https://en.wikipedia.org/wiki/Mandelb... FDM/PDE https://en.wikipedia.org/wiki/Finite_... https://en.wikipedia.org/wiki/Partial... A new kind of science [Wolfram] https://www.wolframscience.com/nks/ Wofram physics project https://www.wolframphysics.org/ https://writings.stephenwolfram.com/2... Game of life clock https://codegolf.stackexchange.com/qu... AlphaFold https://www.nature.com/articles/s4158... Michael Levin https://as.tufts.edu/biology/people/f... https://ase.tufts.edu/biology/labs/le... https://www.growbyginkgo.com/2022/03/... https://www.growbyginkgo.com/2020/06/... Emergent garden / emergentgarden / max_romana The edge of chaos https://en.wikipedia.org/wiki/Edge_of... Computation at the edge of chaos: Phase transitions and emergent computation [Langton] https://www.sciencedirect.com/science... Lenia https://chakazul.github.io/lenia.html Slackermanz https://slackermanz.com/understanding... Daniele doing a talk on his work • Learning Graph Cellular Automata | Da... Smarter podcast (Daniele’s pod!) / @smarterpodcast6806