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Foundations of Complex Systems [PDF]
An approach to Complexity from the perspective of fundamental science is outlined, drawing on the cross-fertilization of concepts and tools from nonlinear dynamics, statistical physics, probability and information theories, data analysis and numerical simulation.
Nicolis, Grégoire, Nicolis, C.
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Are Innovation Systems Complex Systems?
Basically, complex systems are defined as a large number of autonomous entities in interaction, that create several levels of collective organization leading to emergent (and immergent) behavior. In short, complex systems are characterized by the observation that the whole is more than the sum of the parts (Aristotle).
Muller, Emmanuel +2 more
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The Evolution of Complex Systems
Abstract A principle of evolution of highly complex systems is proposed. It is based on extremal properties of the information I (X, Y) characterizing two states X and Y with respect to each other, I(X, Y) = H(Y) -H(Y/X), where H(Y) is the entropy of state Y,H (Y/X) the entropy in state Y given the ...
Hofacker, G. L., Levine, R. D.
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Observability of complex systems [PDF]
A quantitative description of a complex system is inherently limited by our ability to estimate the system’s internal state from experimentally accessible outputs. Although the simultaneous measurement of all internal variables, like all metabolite concentrations in a cell, offers a complete description of a system’s state, in practice experimental ...
Liu, Yang-Yu +2 more
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Engineering complex systems [PDF]
The emergent properties of complex systems are far removed from the traditional preoccupation of engineers with design and purpose.
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Complex Systems + Systems Engineering = Complex Systems Engineeri
10 pages.
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The Architecture of Complex Systems [PDF]
At the present time, the most commonly accepted definition of a complex system is that of a system containing many interdependent constituents which interact nonlinearly. Therefore, when we want to model a complex system, the first issue has to do with the connectivity properties of its network, the architecture of the wirings between the constituents.
LATORA, Vito Claudio, M. MARCHIORI
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AI-driven complex systems redefine cognitive science. [PDF]
Wang P, Sun X, Zou L, Law EL, Paas F.
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ON A MATURITY MODEL FOR COMPLEXITY, COMPLEX SYSTEMS, AND COMPLEX SYSTEMS ENGINEERING
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