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Meeting 2016 Biophys & Pieces

26–28 Sept 2016
Europe/Rome timezone

Session

Sessione 5

27 Sept 2016, 14:40

Conveners

Sessione 5

  • Pietro Faccioli (TIFP)

Presentation materials

There are no materials yet.

  1. 22. Understanding dynamical and statistical properties of urban mobility
    Prof. Armando Bazzani (UNIBO)
    27/09/2016, 14:40
    The Complex Systems Science looks for power law distributions for relevant observables as a fingerprint of the complexity character. However the identification of an empirical power law behavior of a complex system is rarely scientifically useful by itself, but needs to be model-informed. Since multiple competing models can explain the same pattern, it even risks swamping future research with...
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  2. 2. Trap competition in the Penney Model and in Markov processes
    Franco Bagnoli (FI)
    27/09/2016, 15:00
    The Penney’s game [1,2] is a game that can be simply played with coins, betting on sequences of heads and tails (so it is a binary game). The players agree on the length of the sequence, at list of three bits, and then choose orderly which sequence they bet on. Then a coin is tossed several times, generating the binary sequence. The player whose sequence appears first wins. As odd as it may...
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  3. 6. Relation between Zipf ’s law and the distribution of shared components in complex component systems.
    Dr Andrea Mazzolini (Physics Department and INFN, University of Turin)
    27/09/2016, 15:20
    Several complex systems of diverse nature consist of realizations which can be broken into their elementary constitutive components, for example, books into words, genomes into genes, and technological systems into building blocks. The statistics of the components (e.g., word) across realizations (e.g., books) shows several quantitative laws, such ad the well-known example of the power-law...
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  4. 13. Dimensional Reduction of Markov State Models from Renormalization Group Theory
    Simone Orioli (T)
    27/09/2016, 15:40
    Renormalization Group (RG) theory provides the theoretical framework to define Effective Theories, i.e. systematic low-resolution approximations of arbitrary microscopic models. Markov State Models (MSMs) can be shown to be rigorous Effective Theories for Molecular Dynamics (MD). Based on this fact, we use Real Space RG to vary the resolution of a MSM and define an algorithm for clustering...
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