BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Universal laws and architectures: theory and lessons from brains\,
  nets\, hearts\, bugs\, grids\, flows\, and zombies - John Doyle (Caltech)
DTSTART:20150824T140000Z
DTEND:20150824T150000Z
UID:TALK60459@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:This will be fairly tutorial and aim to accessibly describe pr
 ogress on a theory of network architecture relevant to neuroscience\, biol
 ogy\, medicine and technology (particularly SDN/NFV and cyberphysical syst
 ems)\, initially focusing on the common motivations from these subjects. K
 ey ideas are motivated by familiar examples from neuroscience\, including 
 live demos using audience brains\, and further illustrated with examples f
 rom technology and biology. The status of the necessary math will be sketc
 hed in as much detail as time permits. Background material and additional 
 details are in online videos (accessible from website cds.caltech.edu/[til
 de]doyle) and a recent blog post: rigorandrelevance.wordpress.com/author/d
 oyleatcaltech.  \nMy research is aimed at developing a more “unified” 
 theory for complex networks motivated by and drawing lessons from neurosci
 ence [4]\, cell biology [3]\, medical physiology [9]\, technology (interne
 t\, smartgrid\, sustainable infrastructure)[1][8]\, and multiscale physics
  [2]\,[5]\,[6]. This theory involves several elements: hard limits\, trade
 offs\, and constraints on achievable robust\, efficient performance ( “l
 aws”)\, the organizing principles that succeed or fail in achieving them
  (“architectures” and protocols)\, the resulting high variability data
  and “robust yet fragile” behavior  observed in real systems and case 
 studies (behavior\, data\, statistics)\, the processes by which systems ad
 apt and evolve (variation\, selection\, design)\, and their unavoidable fr
 agilities (hijacking\, parasites\, predation\, zombies). A final crucial e
 lement is scalable algorithms to allow study and design of complex network
 s.\nWe will leverage a series of case studies with live demos from neurosc
 ience\, particularly vision and sensorimotor control\, plus some hopefully
  familiar and simple insights from medicine\, cell biology and modern comp
 uter and networking technology.  Zombies emerge throughout as a ubiquitous
 \, strangely popular\, and annoying system fragility\, particularly in the
  form of zombie science.  In addition to the above mentioned blog and vide
 os\, papers [1] and [4] (and references therein) are the most accessible a
 nd broad introduction while the other papers give more domain specific det
 ails.  For math details the best place to start is Nikolai Matni’s websi
 te (cds.caltech.edu/[tilde]nmatni/).\n\nReferences:\n\n1. Alderson DL\, Do
 yle JC (2010) Contrasting views of complexity and their implications for n
 etwork-centric infrastructures. IEEE Trans Systems Man Cybernetics—Part 
 A: Syst Humans 40:839-852. \n\n2. Sandberg H\, Delvenne JC\, Doyle JC. On 
 Lossless Approximations\, the Fluctuation-Dissipation Theorem\, and Limita
 tions of Measurements\, IEEE Trans Auto Control\, Feb 2011 \n\n3. Chandra 
 F\, Buzi G\, Doyle JC (2011) Glycolytic oscillations and limits on robust 
 efficiency. Science\, Vol 333\, pp 187-192. \n\n4. Doyle JC\, Csete ME(201
 1) Architecture\, Constraints\, and Behavior\, P Natl Acad Sci USA\, vol. 
 108\, Sup 3 15624-15630\n\n5. Gayme DF\, McKeon BJ\, Bamieh B\, Papachrist
 odoulou P\, Doyle JC (2011) Amplification and Nonlinear Mechanisms in Plan
 e Couette Flow\, Physics of Fluids\, V23\, Issue 6\, 065108\n\n6. Page\, M
 . T.\, D. Alderson\, and J. Doyle (2011)\, The magnitude distribution of e
 arthquakes near Southern California faults\, J. Geophys. Res.\, 116\, B123
 09\, doi:10.1029/2010JB007933.\n\n7. Namas R\, Zamora R\, An\, G\, Doyle\,
  J et al\, (2012) Sepsis: Something old\, something new\, and a systems vi
 ew\, Journal Of Critical Care  Volume: 27   Issue: 3  \n\n8. Chen\, L\; Ho
 \, T\; Chiang\, M\, Low S\; Doyle J\,(2012) Congestion Control for Multica
 st Flows With Network Coding\, IEEE Trans On Information Theory  Volume: 5
 8   Issue: 9   Pages: 5908-5921   \n\n9. Li\, Cruz\, Chien\, Sojoudi\, Rec
 ht\, Stone\, Csete\, Bahmiller\, Doyle (2014)   Robust efficiency and actu
 ator saturation explain healthy heart rate control and variability\, P Nat
 l Acad Sci USA 2014 111 (33) E3476-E3485\n\n\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
END:VEVENT
END:VCALENDAR