Month: July 2017

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

 

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.

Source: www.mis.mpg.de

AI and Beyond | NECSI

A practical guide for decision makers to the transformation of business
Artificial intelligence is changing the fundamentals of business. There are new ways to improve performance and new business opportunities. As AI is adopted the role of human beings will change. Understanding how to chart this transition is increasingly central to entrepreneurs, executives and the organizations they lead. What functions do you fully automate with AI, what functions do you augment with AI, and what functions should rely on human intelligence? Complex systems science reveals the different and complementary strengths of human and artificial intelligence, and how they can be combined for performance advantage in business.

Source: necsi.edu

Why we live in hierarchies: a quantitative treatise

This book is concerned with the various aspects of hierarchical collective behaviour which is manifested by most complex systems in nature. From the many of the possible topics, we plan to present a selection of those that we think are useful from the point of shedding light from very different directions onto our quite general subject. Our intention is to both present the essential contributions by the existing approaches as well as go significantly beyond the results obtained by traditional methods by applying a more quantitative approach then the common ones (there are many books on qualitative interpretations). In addition to considering hierarchy in systems made of similar kinds of units, we shall concentrate on problems involving either dominance relations or the process of collective decision-making from various viewpoints.

 

Why we live in hierarchies: a quantitative treatise
Anna Zafeiris, Tamás Vicsek

Source: arxiv.org

Self-Organization and The Origins of Life: The Managed-Metabolism Hypothesis

The managed-metabolism hypothesis suggests that a cooperation barrier must be overcome if self-producing chemical organizations are to transition from non-life to life. This barrier prevents un-managed, self-organizing, autocatalytic networks of molecular species from individuating into complex, cooperative organizations. The barrier arises because molecular species that could otherwise make significant cooperative contributions to the success of an organization will often not be supported within the organization, and because side reactions and other free-riding processes will undermine cooperation. As a result, the barrier seriously limits the possibility space that can be explored by un-managed organizations, impeding individuation, complex functionality and the transition to life. The barrier can be overcome comprehensively by appropriate management which implements a system of evolvable constraints. The constraints support beneficial co-operators and suppress free riders. In this way management can manipulate the chemical processes of an autocatalytic organization, producing novel processes that serve the interests of the organization as a whole and that could not arise and persist spontaneously in an un-managed chemical organization. Management self-organizes because it is able to capture some of the benefits that are produced when its management of an autocatalytic organization promotes beneficial cooperation. Selection therefore favours the emergence of managers that take over and manage chemical organizations so as to overcome the cooperation barrier. The managed-metabolism hypothesis shows that if management is to overcome the cooperation barrier comprehensively, its interventions must be digitally coded. In this way, the hypothesis accounts for the two-tiered structure of all living cells in which a digitally-coded genetic apparatus manages an analogically-informed metabolism.

 

Self-Organization and The Origins of Life: The Managed-Metabolism Hypothesis
John E. Stewart

Source: arxiv.org

Thermodynamics of Evolutionary Games

How cooperation can evolve between players is an unsolved problem of biology. Here we use Hamiltonian dynamics of models of the Ising type to describe populations of cooperating and defecting players to show that the equilibrium fraction of cooperators is given by the expectation value of a thermal observable akin to a magnetization. We apply the formalism to the Public Goods game with three players, and show that a phase transition between cooperation and defection occurs that is equivalent to a transition in one-dimensional Ising crystals with long-range interactions. We also investigate the effect of punishment on cooperation and find that punishment acts like a magnetic field that leads to an “alignment” between players, thus encouraging cooperation. We suggest that a thermal Hamiltonian picture of the evolution of cooperation can generate other insights about the dynamics of evolving groups by mining the rich literature of critical dynamics in low-dimensional spin systems.

 

Thermodynamics of Evolutionary Games
Christoph Adami, Arend Hintze

Source: arxiv.org