Networking the complexity community since 1999
Category: Conferences
The recent availability of massive amounts of digital data have profoundly revolutionized research on migration and mobility, enabling scientists to quantitatively study individual and collective mobility patterns at different granularities as generated by human activities in their daily life.
Read the full article at: www.demogr.mpg.de
”Guided Self-Organization: Machine Learning in Embodied Agents”
The 11th International Conference on Guided Self-Organization takes place during 12-14 February 2025 in Tübingen, Germany. GSO-2025 is organized by The University of Tübingen, The Hamburg University of Technology, The Max Planck Institute for Intelligent Systems, and The International Association for Guided Self-Organization (TIA-GSO).
Research Aims and Topics
The goal of Guided Self-Organization (GSO) is to leverage the strengths of self-organization (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 (structure and/or functionality) over some time; (ii) the local interactions are not explicitly guided by any external agent; (iii) task-independent objectives are combined with task-dependent constraints.
GSO “aims to regulate self-organization for specific purposes, so that a dynamical system may reach specific attractors or outcomes. The regulation constrains a self-organizing process within a complex system by restricting local interactions between the system components, rather than following an explicit control mechanism or a global design blueprint.” Information theory, nonlinear dynamics and network theory are core to many of these methods, and quantifying complexity, its sources and effects is a common theme.
The GSO-2025 conference will bring together invited experts and researchers in machine learning, artificial life, self-organizing systems, and complex adaptive systems, with particular emphasis on autonomous agents, information theory, critical phenomena and emergent behaviour. Special topics of interest include: reinforcement learning, intrinsic motivations, origin of life, systems biology, physics of life, unconventional computation, swarm intelligence, measures of complexity, criticality, complex networks, information-driven self-organization (IDSO), etc.
The program includes three days, with five keynote talks, and a number of regular onsite presentations on each day. There are no registration fees for the conference.
More at: www.guided-self.org
Please join us to celebrate 20 years of the Places & Spaces: Mapping Science exhibit! The exhibit is curated here at CNS and has traveled the globe showcasing best examples of information visualization.
When? June 6, 2024 from 4PM to 6PM EDT.
Where? In person at University Collections at McCalla, 525 E 9th St., Bloomington, IN 47408 or online via Zoom webinar.
What? Reception. Enjoy refreshments, remarks from the exhibition curators, presentations from teams whose works have been selected for inclusion in the exhibit this year, and the opportunity to try out a data visualization in VR.
Why? To introduce the latest additions to the exhibit and celebrate the 20th anniversary of the inception of the Places & Spaces: Mapping Science exhibit, see 100 maps and 40 interactive macroscopes at scimaps.org.
More at: cns-iu.github.io
There is no registration fee and limited funds are available for travel and local expenses.
We are organizing an international Conference on Complex Systems and Stochastic Processes to be held from the 1st to the 5th of July 2024, hosted by the Universidad de Guadalajara at the University Center for Exact and Engineering Sciences (CUCEI) in Guadalajara, Jalisco, Mexico. The scope of the Meeting is to discuss recent exciting developments in critical dynamics, quantum thermodynamics, classical and quantum walks, sociophysics and opinion dynamics, search and optimization, econophysics, networks, fractals, among others.
Complexity Digest 