1. John Doyle 道陽 Jean-Lou Chameau Professor Control and Dynamical Systems, EE, & BioE tech 1 # Ca Universal laws and architectures: Theory and lessons from brains, bugs, nets, grids, docs, planes, fire, fashion, art, turbulence, music, buildings, cities, earthquakes, bodies, running, throwing, Synesthesia, spacecraft, statistical mechanics and zombies

2. Neuroscience + People care +Live demos! 1.experiments 2.data 3.theory 4.universals

3. 1 2 4 8.11.05.5.2 Length (meters) Fragility 10 10 0 1 0 1 too fragile complex No tradeoff expensive fragile costly fragile cheap robust Survive Multiply thin small thick big Laws Slow Flexible vision eye vision Act slow delay Fast Inflexible VOR fast Slow Flexible Fast Inflexible Impossible (law) Universal laws

4. and architectures: Theory and lessons from brains, bugs, nets, grids, docs, planes, fire, fashion, art, turbulence, music, buildings, cities, earthquakes, bodies, running, throwing, Synesthesia, spacecraft, statistical mechanics Slow Flexible Fast Inflexible Impossible (law) Architecture General Special

5. Which blue line is longer?

10. Slow Flexible vision eye vision Act slow delay Fast Inflexible VOR fast 3D + motion color vision SlowestSlowest See Marge Livingstone

11. This is pretty good. Stare at the intersection

14. control feedback RNA mRNA RNAp Transcription Other Control Gene Amino Acids Proteins Ribosomes Other Control Translation Metabolism Products Signal transduction ATP DNA New gene Fast Costly Slow Cheap Flexible Inflexible General Special HGT DNA repair Mutation DNA replication Transcription Translation Metabolism Signal… Layered Architecture

15. Slow Fast Flexible Inflexible General Special Apps OS HW Dig. Lump. Distrib. OS HW Dig. Lump. Distrib. Digital Lump. Distrib. Lumped Distrib. HGT DNA repair Mutation DNA replication Transcription Translation Metabolism Signal SenseMotor Prefrontal Fast Learn Reflex Evolve vision VOR

16. Control, OR Comms Compute Physics Shannon Bode Turing Gödel Einstein Heisenberg Carnot Boltzmann Theory? Deep, but fragmented, incoherent, incomplete Nash Von Neumann

17. Control, OR Compute Bode Turing Delay and risk are most important Worst-case (“risk”) Time complexity (delay) Worst-case (“risk”) Delay severely degrades robust performance Computation for control Off-line design On-line implementation Learning and adaptation

18. Control, OR CommunicateCompute Physics Shannon Bode Turing Einstein Heisenberg Carnot Boltzmann Delay and risk are most important Delay and risk are least important

19. Communicate Physics Shannon Einstein Heisenberg Carnot Boltzmann Dominates “high impact science” literature Average case (risk neutral) Random ensembles Asymptotic (infinite delay) Space complexity

20. Control, OR CommunicateCompute Physics Shannon Bode Turing Delay and risk are most important Delay and risk are least important New progress!

21. .01 1 delay sec/m AαAα C 20  m.2  m 2 s/m.008 s/m.1 Axon size and speed area.1110 diam(  m).011100

22. .01 1 delay sec/m AαAα C.1 AβAβ Aγ AδAδ area.1110 diam(  m).011100

23. delay sec/m.01 1.1 myelinated unmyelinated area.1110 diam(  m).011100 Axon size and speed

24. area delay sec/m.01 1.1110 diam(  m).1 10  m.1  m 1  m myelinated.011100 myelin

25. delay sec/m.01 1.1 area.1110 diam(  m).011100 Retinal ganglion axons? Other myelinated Why such extreme diversity in delay and size? VOR Why no diversity in VOR?

26. Wrongness everywhere, every scale, “truthiness” Involving anything “complex”… Wild success: religion, politics, consumerism, … Debates focused away from real issues… Even if erased, sustainability challenges remain Hopeless if it persists I’ll set aside all of this for now, and “zoom in” on the world of PhD research/academic scientists BTW, excellent case study in infectious hijacking Fractal wrongness

27. This paper aims to bridge progress in neuroscience involving sophisticated quantitative analysis of behavior, including the use of robust control, with other relevant conceptual and theoretical frameworks from systems engineering, systems biology, and mathematics. Doyle, Csete, Proc Nat Acad Sci USA, JULY 25 2011 Trivial examples

28. “New sciences” of “complexity” and “networks”? worse Edge of chaos Self-organized criticality Scale-free “networks” Creation “science” Intelligent design Financial engineering Risk management “Merchants of doubt” … Science as Pure fashion Ideology Political Evangelical Nontech trumps tech

29. Complex systems? Fragile Scale Dynamics Nonlinearity Nonequlibrium Open Feedback Adaptation Intractability Emergence … Even small amounts can create bewildering complexity

30. Complex systems? Fragile Scale Dynamics Nonlinearity Nonequlibrium Open Feedback Adaptation Intractability Emergence … Scale Dynamics Nonlinearity Nonequlibrium Open Feedback Adaptation Intractability Emergence … Robust

31. Complex systems? Resources Controlled Organized Structured Extreme Architected … Robust complexity Scale Dynamics Nonlinearity Nonequlibrium Open Feedback Adaptation Intractability Emergence …

32. These words have lost much of their original meaning, and have become essentially meaningless synonyms e.g. nonlinear ≠ not linear Can we recover these words? Idea: make up a new word to mean “I’m confused but don’t want to say that” Then hopefully we can take these words back (e.g. nonlinear = not linear) Scale Dynamics Nonlinearity Nonequlibrium Open Feedback Adaptation Intractability Emergence … Fragile complexity

33. New words Fragile complexity Emergulent Emergulence at the edge of chaocritiplexity Scale Dynamics Nonlinearity Nonequlibrium Open Feedback Adaptation Intractability Emergence …

34. Things we won’t get to Attention/Awareness (Graziano) Compassion Consciousness Free will Me vs We Us vs Them

35. Things we won’t get to

36. Things we won’t get to Good/Evil

37. Things we won’t get to