Complex Systems Studies
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Postdoctoral Research Positions: Brain engineering research center at IPM/Tehran is accepting applications for 3-year postdoctoral research fellows starting September 2016. The lab is broadly interested in vision and neural engineering with a specific focus on electrophysiological studies on primate vision, computational neuroscience and visual prosthesis. The candidates should have a Ph.D. degree in neuroscience, electronic engineering, biomedical engineering, computer engineering or related field and will be involved in a collaboration with the State University of New York, College of Optometry. http://braineng.ipm.ac.ir/job_postDoc.jsp
WHY CITIES KEEP GROWING, CORPORATIONS AND PEOPLE ALWAYS DIE, AND LIFE GETS FASTER, by Geoffrey West

https://www.edge.org/conversation/geoffrey_west-why-cities-keep-growing-corporations-and-people-always-die-and-life-gets
Simon's fundamental rich-gets-richer model entails a dominant first-mover advantage



https://arxiv.org/abs/1608.06313
Brian #Josephson (2016)

Lecture and Discussion: #Emergent #Self-Organising Activity as the true #foundation of #Reality

http://www.mediatheque.lindau-nobel.org/videos/36145/lecture-emergent-self-organising-activity

Abstract

The presumptions underlying quantum mechanics make it relevant to a limited range of situations only1; furthermore, its statistical character means that it provides no answers to the question ‘what is really going on?’. In line with Barad’s discussions of the way quantum measurements introduce definiteness into previously indefinite situations, it is hypothesised that the underlying mechanics has parallels with human activities. We are led to consider a subtle type of order, different from those commonly encountered in the discipline of physics, and yet comprehensible in terms of concepts considered by Barad and Yardley such as oppositional dynamics or ‘intra-actions’2. The emergent organisation implies that nature is no longer fundamentally meaningless.

We are led to consider a subtle type of order, different from those commonly encountered in the discipline of physics, and yet comprehensible in terms of concepts considered by Barad and Yardley such as oppositional dynamics or ‘intra-actions’. The emergent organisation implies that nature is no longer fundamentally meaningless.

NB: the slides for this lecture are available separately at
http://www.tcm.phy.cam.ac.uk/~bdj10/Documents/Lindau2016-slides.pdf.

Clarifications added after lecture: agencies can be viewed as dynamical systems, so we are dealing with models involving interacting dynamical systems. The 'congealing of agencies' to whch Barad refers can equated to the presence of regulatory mechanisms restricting the range of possibilities open to the agencies concerned.
Lecture Notes on Finite Element Methods for Partial Differential Equations

Endre Suli

Mathematical Institute, University of Oxford

http://people.maths.ox.ac.uk/suli/fem.pdf
School and Conference on Conformal Field Theory and its Applications
Institute for Research in Fundamental Sciences(IPM)
October 24-27, 2016 (3-6 Aban 1395)

http://particles.ipm.ir/conferences/2016/CFT/index.jsp
THE #PHYSICS OF #INFORMATION
F. ALEXANDER BAIS AND J. DOYNE FARMER

http://arxiv.org/pdf/0708.2837v2.pdf
Control principles of complex systems

Yang-Yu Liu and Albert-László Barabási

http://journals.aps.org/rmp/abstract/10.1103/RevModPhys.88.035006
Complex Systems Studies
Control principles of complex systems Yang-Yu Liu and Albert-László Barabási http://journals.aps.org/rmp/abstract/10.1103/RevModPhys.88.035006
ABSTRACT
A reflection of our ultimate understanding of a complex system is our ability to control its behavior. Typically, control has multiple prerequisites: it requires an accurate map of the network that governs the interactions between the system’s components, a quantitative description of the dynamical laws that govern the temporal behavior of each component, and an ability to influence the state and temporal behavior of a selected subset of the components. With deep roots in dynamical systems and control theory, notions of control and controllability have taken a new life recently in the study of complex networks, inspiring several fundamental questions: What are the control principles of complex systems? How do networks organize themselves to balance control with functionality? To address these questions here recent advances on the controllability and the control of complex networks are reviewed, exploring the intricate interplay between the network topology and dynamical laws. The pertinent mathematical results are matched with empirical findings and applications. Uncovering the control principles of complex systems can help us explore and ultimately understand the fundamental laws that govern their behavior.
AN INTRODUCTION TO
#ECONOPHYSICS
Correlations and Complexity in Finance

ROSARIO N. #MANTEGNA
Dipartimento di Energetica ed Applicazioni di Fisica, Palermo University
H. EUGENE #STANLEY
Center for Polymer Studies and Department of Physics, Boston University

http://polymer.bu.edu/hes/book-mantegna00stanley.pdf