The document discusses the concept of emergence in complex systems, particularly illustrated through examples of ant behavior, such as foraging and nest-building. It emphasizes the principle that the collective behavior of entities like ants is irreducible to individual actions, highlighting themes of self-organization and natural selection for collective behavior. Additionally, it contains a disclaimer stating that the information is for educational purposes and does not constitute investment advice.

1. identifying emergence
in complex systems
@thejunglejane

2. if you put 50 ants on a table

3. if you put 500,000 ants on a table

4. adding more ants

5. relatively simple

6. foraging for food
building nests
raising livestock
waging war
burying their dead

7. innate immune system
adaptive immune system

8. take the lower levels for granted

9. principle of computational irreducibility

10. the collective is irreducible to the individual

11. the whole must be greater than the sum of its parts

12. emergence

13. disorganized v. organized complexity

14. Per Bak
Chao Tang
Kurt Wiesenfeld

15. self-organized criticality

16. simple
distributed
scalable

17. spend water to get water

18. collective regulation

19. ants are doing TCP

20. the independent discovery
of TCP/IP, by humans

22. David Winter
keepturningleft.co.uk

23. consensus

24. scale-free correlation

25. high signal-to-noise ratio

26. effective perceptive range

27. seven nearest neighbors

28. robustness

29. many evolutionary cycles
in many different environments

30. natural selection for collective behavior

31. we have many biological analogs
of computational problems

32. ants and congestion control

33. starlings and consensus

34. slime mold and network-routing

35. swarms and distributed search

36. neuronal spiking and probabilistic inference

37. fly brains and max independent sets

38. problem of representation

39. top-down feedback

40. simple and abstract

41. thank you

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