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GRASP Seminar: John Doyle, CalTech, “Rules of engagement: The architecture of robust, evolvable networks”

January 11, 2008 @ 11:00 am - 12:00 pm

Abstract: The nature of complexity, robustness, and evolvability has been a persistent source of confusion both throughout science and between science and society. Recent broad progress could potentially help resolve much of this confusion, particular among those attracted to rigor in experiments, statistics, and mathematics. This talk will take a hopefully light-hearted look at the sources of confusion as well their potential resolution.

The technical basis of this talk is on the architectural and organizational principles of networked systems, building on insights about the fundamental nature of complex biological and technological networks drawn from three converging research themes. 1) With molecular biologies description of components and growing attention to systems biology, the organizational principles of biological networks are becoming increasingly apparent. Biologists are articulating richly detailed explanations of biological complexity, robustness, and evolvability that point to universal principles. 2) Advanced technologies complexity is now approaching biologies. While the components differ, there is striking convergence at the network level of architecture and the role of layering, protocols, and feedback control in structuring complex multiscale modularity. New theories of the Internet and related networking technologies have led to test and deployment of new protocols for high performance networking. 3) A new mathematical framework for the study of complex networks suggests that this apparent network-level evolutionary convergence within/between biology/technology is not accidental, but follows necessarily from the universal system requirements to be efficient, adaptive, evolvable, and robust to perturbations in their environment and component parts.

One of the simplest but most important observations is that biological systems are robust and evolvable in the face of even large changes in environment and system components, yet can simultaneously be extremely fragile to small perturbations. Such universally robust yet fragile (RYF) complexity is found wherever we look. The amazing evolution of microbes into humans (robustness of lineages on long timescales) is punctuated by mass extinctions (extreme fragility). Diabetes, obesity, cancer, and autoimmune diseases are side-effects of biological control and compensatory mechanisms so robust as to normally go unnoticed. RYF complexity is not confined to biology. The complexity of technology is exploding around us, but in ways that remain largely hidden. Modern institutions and technologies facilitate robustness and accelerate evolution, but enable catastrophes on a scale unimaginable without them (from network and market crashes to war, epidemics, and climate change). Understanding RYF means understanding architecture the most universal, high-level, persistent elements of organization and protocols. Protocols define how diverse modules interact, and architecture defines how sets of protocols are organized.


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John Doyle is the John G Braun Professor of Control and Dynamical Systems, Electrical Engineer, and BioEngineering at Caltech. He has a BS and MS in EE, MIT (1977), and a PhD, Math, UC Berkeley (1984). Current research interests are in theoretical foundations for complex networks in engineering, biology, and multiscale physics. His group led the development of the open source Systems Biology Markup Language (SBML) (www.sbml.org), the analysis toolbox SOSTOOLS (www.cds.caltech.edu/sostools), and contributed to the theory of the FAST protocol that have broken multiple world land speed records (netlab.caltech.edu). Early work was in the mathematics of robust control, LQG robustness, (structured) singular value analysis, H-infinity plus recent extensions. He coauthored books and software toolboxes currently used at over 1,000 sites worldwide, the main control analysis tool for high performance commercial and military aerospace systems, as well as many other industrial systems. Prize papers include the IEEE Baker, the IEEE Automatic Control Transactions Axelby (twice), and the AACC Schuck. Individual awards include the AACC Eckman, and the IEEE Control Systems Field and Centennial Outstanding Young Engineer Awards. He has held national and world records and championships in various sports.


January 11, 2008
11:00 am - 12:00 pm
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