The scales of a system’s behavior determine what it can do. By comparing these scales to the tasks for which the system is designed, we can see whether or not it can achieve its goals and why. Multiscale Analysis proves useful in the study of large organizations, such as healthcare, the military, and corporations.


Complex Systems Modeling


NECSI uses conceptual and mathematical models to characterize the multiscale complexity of mathematical, physical and social systems, and solve a mystery of complex systems: strong emergence.


An Information-Theoretic Formalism for Multiscale Structure in Complex Systems, B. Allen, B. C. Stacey, Y. Bar-Yam (September 16, 2014).

The Limits of Phenomenology: From Behaviorism to Drug Testing and Engineering. Y. Bar-Yam (2013).

Computationally tractable pairwise complexity profile, Y. Bar-Yam, D. Harmon, Y. Bar-Yam (May, 2013).

Information flow through a chaotic channel: prediction and postdiction at finite resolution, R. Metzler, Y. Bar-Yam, M. Kardar (2004).

A Mathematical Theory of Strong Emergence using Multiscale Variety, Y. Bar-Yam (2004).

Multiscale Variety in Complex Systems,Y. Bar-Yam (2004).

Multiscale Representation Phase I, Report to Chief of Naval Operations Strategic Studies Group, Y. Bar-Yam, (2001).

A self-stabilizing, robust region finder applied to color and optical flow pictures, M. Ben-Ezra, M. Werman, Y. Bar-Yam (May, 2001).

Sensitivity of ballistic deposition to pseudorandom number generators, R. M. D'Souza, Y. Bar-Yam, M. Kardar (1998).


Engineering

NECSI identifies the inherent limitations of traditional engineering for highly complex challenges, and shows the potential of an evolutionary approach.


About Engineering Complex Systems: Multiscale Analysis and Evolutionary Engineering, Y. Bar-Yam, in Engineering Self Organising Systems: Methodologies and Applications, S. Brueckner, G. Di Marzo Serugendo, A. Karageorgos, R. Nagpal Eds. (2005).

Large-Scale Engineering and Evolutionary Change, Useful Concepts for Implementation of FORCEnet Y. Bar-Yam (2002).


Physics

Generalizing our understanding of information to include scale provides an important tool for characterizing any system.


Multiscale complexity of correlated Gaussians, R. Metzler, Y. Bar-Yam (2005).

Multiscale complexity/entropy, Y. Bar-Yam (2004).

Multiscale analysis of information correlations in an infinite-range, ferromagnetic Ising system, S. Gheorghiu-Svirschevski, Y. Bar-Yam, Phys Rev E 70, 066115 (2004).

Sum rule for multiscale representations of Kinematic systems,Y. Bar-Yam (2002).


Social Systems


Models of human social interaction developed by NECSI provide insight on the future of human civilization as well as achieving individual well-being.



Complexity Rising: From Human Beings to Human Civilization, a Complexity Profile, Y. Bar-Yam (2002).

Environmental Complexity: Information For Human-Environment Well-being. Y. Bar-Yam, A. Davidson (1997).

 

 

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