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.