The mathematics of information in complex systems
19 october 2015
h. 12.30
Room G12
Via Golgi 19, Milano
Karoline Wiesner
School of Mathematics
University of Bristol
A hallmark of complex systems are the
presence of order and randomness.
The interplay between them allows
for robust function. A mathematical
framework for uncovering structure and
randomness is found in information
theory. As one example I will illustrate
how information measures help
uncover the mechanism of glass
formation. I will also discuss protein
dynamics and other examples from
biochemistry. No background in
information theory required to attend.
References
Dunleavy, Andrew J., Karoline Wiesner, Ryoichi Yamamoto, and C. Patrick Royall.
Mutual Information Reveals Multiple Structural Relaxation Mechanisms in a Model Glass Former. Nature Communications 6 (2015).
Ladyman, James, James Lambert, and Karoline Wiesner.
What Is a Complex System? European Journal for Philosophy of Science 3, no. 1 (2013): 33–67.
Kelly, David, Mark Dillingham, Andrew Hudson, and Karoline Wiesner.
A New Method for Inferring Hidden Markov Models from Noisy Time Sequences. PLoS ONE 7, no. 1 (2012): e29703.