The Ninth International Conference on Guided Self-Organisation (GSO-2018) : Information Geometry and Statistical Physics - March 26 - 28, 2018 Max Planck Institute for Mathematics in the Sciences
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The Ninth International Conference on Guided Self-Organisation (GSO-2018) : Information Geometry and Statistical Physics
OFFICIAL WEBSITE
March 26 - 28, 2018
Max Planck Institute for Mathematics in the Sciences
The goal of Guided Self-Organization (GSO) is to leverage the strengths of self-organization (i.e., its simplicity, parallelization, adaptability, robustness, scalability) while still being able to direct the outcome of the self-organizing process. GSO typically has the following features:
(i) An increase in organization (i.e., structure and/or functionality) over time;
(ii) Local interactions that are not explicitly guided by any external agent;
(iii) Task-independent objectives that are combined with task-dependent constraints.
GSO-2018 is the 9th conference in a bi-annual series on GSO. Recent research is starting to indicate that information geometry, nonequilibrium statistical physics in general, and the thermodynamics of computation in particular, all play a key role in GSO. Accordingly, a particular focus of this conference will be the interplay of those three topics as revealed by their relationship with GSO.
The following specific topics are of special interest:
- information-driven self-organisation
- complex systems and networks
- non-equilibrium statistical physics
- non-extensive statistical mechanics
- physics of information and computation
- information dynamics
- generalised entropies
- generalised relative entropies
- alpha geometry and alpha statistics
- constraints and maximum entropy principle
- information-geometric aspects of Fokker-Planck and Kolmogorov equations
More Information
- Conference Homepage
- GSO Workshop Series
- Keynote Speakers
- Tentative Program
- Call for Abstracts
- Registration
Date and Location
March 26 - 28, 2018
Max Planck Institute for Mathematics in the Sciences
Inselstraße 22
04103 Leipzig
Germany
see travel instructionsOrganizing Committee
- Nihat Ay MPI for Mathematics in the Sciences Leipzig (Germany)
- Mikhail Prokopenko University of Sydney (Australia)
Program Committee
- Nihat Ay, MPI for Mathematics in the Sciences, Leipzig (Germany)
- Domenico Felice, Università degli Studi di Camerino, Camerino (Italy)
- Carlos Gershenson, Universidad Nacional Autónoma de México, Computer Sciences Department, Mexico City (Mexico)
- Paolo Gibilisco, Università degli Studi di Roma "Tor Vergata", Facoltà di Economia, Roma (Italy)
- Daniel Polani, University of Hertfordshire, Department of Computer Science, Hatfield (United Kingdom)
- Mikhail Prokopenko, University of Sydney, Sydney (Australia)
- Richard Spinney, University of Sydney, Sydney (Australia)
- Justin Werfel, Harvard University, Cambridge (USA)
- Larry Yaeger, Google Inc., San Francisco (USA)
- G. Çiğdem Yalçın, İstanbul Üniversitesi, İstanbul (Turkey)
Administrative Contact
Antje Vandenberg
MPI for Mathematics in the Sciences
Leipzig