**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 instructions

**Organizing 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

**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 instructions

**Organizing 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