Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB Pod version: https://anchor.fm/machinelearningstreettalk/episodes/75—Emergence-Special-Edition-with-Dr–DANIELE-GRATTAROLA-e1hrb23 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 [More]
Peter Bock discusses the evolution of Artificial Intelligence and states his intention of creating the world’s first artificial being. He shows the capabilities of the current system, known as ALISA, in creating works of art. Peter Bock is a Professor Emeritus of the Department of Computer Science at The George Washington University. During his 40-year career, Peter has focused on developing his biologically-inspired statistical learning theory, known as Collective Learning Systems (CLS), to provide essential knowledge for reverse engineering the brain and understanding cognition. He worked with NASA as part of the Apollo Program. In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)