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TIMESTAMPS 2:35 Natural Scientists vs. Social Scientists in Complexity Science 8:29 Alex’ paper about elections 27:00 Professor Friston’s work in relation to Complexity Science 36:13 Can data be to weak to be useful? 40:35 Complexity Science in relation to philosophy and empiricism vs. rationality 46:29 What is the hardest thing in your work? 55:38 Successful people in academia 1:02:00 Circles & Loops 1:05:00 Measuring success 1:10:30 Are religions circular? 1:17:09 Language compression and emotion transfer devices 1:21:00 Meta-talk 1:24:29 Why is it hard to talk about ”deep things”? 1:28:22 The nature of learning 1:31:30 Memory 1:36:50 A subagent in our embodied cognition that is ”higher” than us? 1:49:11 What advice do you have for younger students? Intrested in CS? Award-winning intro to Complexity Science by Alex: https://www.hindawi.com/journals/complexity/2020/6105872/ Mentioned resources: https://en.wikipedia.org/wiki/The_Structure_of_Scientific_Revolutions (Note from Alex: It seems less original now than at the time it was written) The Master and His Emmissary by Iain McGilchrist Another book recommended by Alex: I and Thou by Martin Buber (he recommends the translation by Smith) The review article in Nature Physics: https://arxiv.org/abs/1810.11489 Regarding proxies to internal goals, I’d recommend the following Medium article: https://adamahm.medium.com/data-linkage-visualization-for-assisting-policy-makers-d4ba40715693x Give Epistik a follow and fill the following form: https://forms.gle/MSZwUEFm1kzMTuia6
TIMESTAMPS: 6:15 Is the reduction of uncertainty in the Free Energy Principle more compareable with Occam’s razor or simple deterministic laws? 18:03 Tautologies and compression of information. 30:00 Free will 37:48 Where does the first prior probability distribution come from? Do you believe in revelation? 49:20 How can we describe parameters of epistemic foraging in terms of the Free Energy Principle and Philosophy? 1:04:15 Practical applications of Friston’s work in relation to policy-making in the corporate world and the public sector. 1:16:10 Should people aspiring to work in Public Admin study maths? Links to Prof. Friston’s previous pertinent appearances: TOE Podcast: https://youtu.be/2v7LBABwZKA (good for getting an elementary understanding of the Free Energy Principle and it's applications) Lex Fridman Podcast: https://www.youtube.com/watch?v=NwzuibY5kUs&t=688s (a fun conversation) Dartmouth's CCN Workshop https://www.youtube.com/watch?v=b1hEc6vay_k (good for stats-people) ML Streettalk: https://www.youtube.com/watch?v=KkR24ieh5Ow (good for ML-people) Serious Science: https://www.youtube.com/watch?v=HW0JnjgCO3o&t=520s (about a slightly separate area: Embodied Cognition) Give Epistik a follow! Suggest ideas here: https://forms.gle/MSZwUEFm1kzMTuia6
TIMESTAMPS: 23:39 Subagents in our heads. 35:00 What can we learn from how we perceive people we encounter on the street? 42:26 The Game of Life in relation to RL and MDPs. 58:35 Summarizing question
TIMESTAMPS 13:00 Computer scientist vs social scientists 17:50 Is quantification effective? 24:00 Why did you choose to work with CSS? 49:00 NLP & Marketing 54:10 NLP vs regression 57:20 What kind of variable would you like to maximize? Dr. Garimella’s website and GitHub: https://users.ics.aalto.fi/kiran/ https://github.com/gvrkiran Sorry for bad audio from my side.
TIMESTAMPS 2:00 How do you choose which books to read? 4:00 Random decision-making 8:00 The potential of a emotion transfer device 18:30 The leap of faith 25:27 Who are the genuine atheists? 28:00 Links between dualism vs non-dualism and idealism vs materialism 35:58 Infinite vs finite games in the evolution of religions 39:50 Objectivity in contrast to the personification of God 43:00 Virtue ethics and tautologies 46:10 Turning infinite into finite games – from the micro-level to the macro-level 49:21 What percentage of the world population do you think that people would accept and abide by a coherent and somewhat fair axiomatic system? 50:43 Is there any variable that you can pinpoint and say that you want to maximize or minimize in life? 1:00:55 When do you think that Hegelian dialectical logic is better than using statistical inference in psychology? 1:05:57 The impact of instantaneous emotions 1:10:00 ”Chicken and egg”-problems, tautologies, and circular systems 1:14:40 What social science subject would you recommend for engineers or scientists? Professor Gozli’s… YT-channel: https://www.youtube.com/channel/UC6XWPTuBcXjkPoeP_MGCjug Website: dgozli.com Patreon: https://www.patreon.com/dgozli
4:26 What did you learn from Prof. Collin Camerer 10:10 Neuroeconomics vs Metabolomics 14:07 Defining wellbeing 15:30 A proxy for wellbeing 20:00 The theory of reflexivity and the delta between money and value 25:33 Hedonic recalibration/calibration 28:08 Can our projection of wellbeing be 100% epistemically correct? 31:35 Is computational power or lack of information the primarily limiting factor in deriving a path to wellbeing? 46:15 Do we have a tendency to turn infinite games into finite games? 57:50 Simple stats vs sophisticated maths 1:17:20 Can one force oneself to like any smell? 1:19:25 “When we have to cooperate but don’t have the same purpose of goals, we make transactions.” Dr. Bose's website: https://sites.google.com/view/devdeeptabose
TIMESTAMPS 8:00 Hegelian dialectical logic vs. statistical inference in Psychology. 13:45 Problems with defining wellbeing. 23:30 Data gathering 31:10 Subconscious hard-limiter. 40:00 Behavioral Scientists' impact in society 53:00 Paternalism v libertarianism. Links to Professor Krpan's social media: Linkedin Twitter Google Scholar
TIMESTAMPS 20:25 Comp. Neuroscience & Public Policy 31:50 Comparing brains with computers. 38:00 When should we note something down? 52:40 Does logic have to be mathematical? 1:02:10 Why is it so important for us that some other consciousness has registered our acts/experience? William's podcast: akademiskasmadad.se
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