Titlebook: Unifying Themes in Complex Systems; Volume IIIB: New Res Ali A. Minai,Yaneer Bar-Yam Conference proceedings 2006 Springer-Verlag Berlin Hei

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Complexity, Emergence and Pathophysiology: Using Non-Adaptive Inflammatory Response,of the system’s dynamics. We propose that attempts to manipulate the components of the human system without a framework of the human system’s dynamics would lead to unintended consequences with respect to its emergent properties. We present as an example of this situation the non-adaptive inflammato

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Self-Organization of Population Structure in Biological Systems,tor. They could see no reason to expect such boundaries to emerge intrinsically and the few empirical examples available at that time seemed to be easily explained as cases of secondary contact after a period of complete geographical isolation [.]. Since publication of [.], spatial boundaries betwee

ESO

Modelling Bacterial Hyperstructures with Cellular Automata,nges in the affinities of its enzymes for one another. These changes result from the binding of enzymes to their substrates and result in increased diffusion coefficients [.]. In essence, the program uses cellular automata to represent both the cytoplasm in 3-D and the surrounding cytoplasmic membra

ONYM

Use of an Object-Based Model to Represent Complex Features of Ecosystems,n a 2-D lattice. Third, the model is completely configurable, so that a wide range of ecosystem configurations and their corresponding initial conditions can be specified for simulation. Thus, both the biological composition (i.e., number and type of species, initial population sizes, etc.) and the

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Anju Dahiya,Serguei Krivovuge-fixing term, and conjectured that the Faddeev-Popov term to recover the gauge invariance and unitarity, in the case of a non-Abelian gauge field, could automatically be derived within the framework of SQM. We also expect to avoid the troublesome Gribov problem (Parisi and Wu 1981) by means of SQ

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Bernard Pavard,Julie Dugdaleoment of time. A process bisimilar to a given one should not be thought as a probabilistic version of it. The idea is to reduce the state space by lumping those states that behave in a similar way. Clearly, if we would be able to reduce the state space, the stochastic reachability analysis becomes m

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