Epistik

Episode 18, feat. Alexander Siegenfeld

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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

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