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/
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/1810.11489Regarding proxies to internal goals, I’d recommend the following Medium article: https://adamahm.medium.com/data-linkage-visualization-for-assisting-policy-makers-d4ba40715693x
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