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John Doyle 道陽 Jean-Lou Chameau Professor Control and Dynamical Systems, EE, & BioE

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 , S y n e s t h e s i a , spacecraft, statistical mechanics. and zombies.

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John Doyle 道陽 Jean-Lou Chameau Professor Control and Dynamical Systems, EE, & BioE

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

  2. experiments data theory universals • Neuroscience + People care +Live demos!

  3. vision fast slow Slow Act 8 delay vision Fragility eye Universal laws VOR 4 Fast 1 Slow 10 fragile Flexible too fragile Inflexible thin small 2 Laws fragile Impossible (law) complex 1 Fast Survive No tradeoff .05 .1 1 .2 .5 Length (meters) 0 thick big 10 robust -1 0 1 10 10 10 Flexible Inflexible expensive cheap costly Multiply

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

  5. Which blue line is longer?

  6. Which blue line is longer?

  7. Which blue line is longer?

  8. Which blue line is longer?

  9. Which blue line is longer?

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

  11. Stare at the intersection This is pretty good.

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

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

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

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

  16. Compute Communicate Turing Shannon Delay and risk are most important Delay and risk are least important Carnot Bode Boltzmann Control, OR Heisenberg Physics Einstein

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

  18. Compute Communicate Turing Shannon Delay and risk are most important Delay and risk are least important New progress! Bode Control, OR Physics

  19. .2 m 2 s/m Axon size and speed 1 C delay sec/m .1 20 m Aα .01 .008 s/m diam(m) .1 1 10 area .01 1 100

  20. 1 C delay sec/m Aγ .1 Aδ Aβ Aα .01 diam(m) .1 1 10 area .01 1 100

  21. Axon size and speed unmyelinated 1 delay sec/m .1 myelinated .01 diam(m) .1 1 10 area .01 1 100

  22. .1 m 1 delay sec/m 10 m .1 myelinated myelin 1 m .01 diam(m) .1 1 10 area .01 1 100

  23. Why such extreme diversity in delay and size? Other myelinated 1 delay sec/m Why no diversity in VOR? Retinal ganglion axons? .1 VOR .01 diam(m) .1 1 10 area .01 1 100

  24. Fractal wrongness • 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

  25. 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. Trivial examples Doyle, Csete, Proc Nat AcadSci USA, JULY 25 2011

  26. “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

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

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

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

  30. 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

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

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

  33. Things we won’t get to

  34. Things we won’t get toGood/Evil

  35. Things we won’t get to

  36. Things we won’t get to

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