Month: October 2016

Defining emergence: Learning from flock behavior

The idea of emergence originates from the fact that global effects emerge from local interactions producing a collective coherent behavior. A particular instance of emergence is illustrated by a flocking model of interacting “boids” encompassing two antagonistic conducts—consensus and frustration—giving rise to highly complex, unpredictable, coherent behavior. The cohesive motion arising from consensus can be described in terms of three ordered dynamic phases. Once frustration is included in the model, local phases for specific groups of flockmates, and transitions among them, replace the global ordered phases. Following the evolution of boids in a single group, we discovered that the boids in this group will alternate among the three phases. When we compare two uncorrelated groups, the second group shows a similar behavior to the first one, but with a different sequence of phases. Besides the visual observation of our animations with marked boids, the result is evident plotting the local order parameters. Rather than adopting one of the consensus ordered phases, the flock motion resembles more an entangled dynamic sequence of phase transitions involving each group of flockmates.

Source: onlinelibrary.wiley.com

WaveNet: A Generative Model for Raw Audio | DeepMind

This post presents WaveNet, a deep generative model of raw audio waveforms. We show that WaveNets are able to generate speech which mimics any human voice and which sounds more natural than the best existing Text-to-Speech systems, reducing the gap with human performance by over 50%.
We also demonstrate that the same network can be used to synthesize other audio signals such as music, and present some striking samples of automatically generated piano pieces.

Source: deepmind.com

The Self-Organizing Society: The Role of Institutions

Is it possible to constrain a human society in such a way that self-organization will thereafter tend to produce outcomes that advance the goals of the society? Such a society would be self-organizing in the sense that individuals who pursue only their own interests would none-the-less act in the interests of the society as a whole, irrespective of any intention to do so. I sketch an agent-based model that identifies the conditions that must be met if such a self-organizing society is to emerge. The model draws heavily on an understanding of how self-organizing societies have emerged repeatedly during the evolution of life on Earth (e.g. evolution has produced societies of molecular processes, of simple cells, of eukaryote cells and of multicellular organisms). The model demonstrates that the key enabling requirement for a self-organizing society is ‘consequence-capture’. Broadly this means that all agents in the society must capture sufficient of the benefits (and harms) that are produced by the impact of their actions on the goals of the society. If this condition is not met, agents that invest resources in actions that produce societal benefits will tend to be out-competed by those that do not. This ‘consequence-capture’ condition can be met where a society is managed by appropriate systems of evolvable constraints that suppress free riders and support pro-social actions. In human societies these constraints include institutions such as systems of governance and social norms. If a self-organizing society is to emerge, consequence-capture must occur for all agents in the society, including those involved in the establishment and adaptation of institutions. By implementing consequence-capture, appropriate institutions can produce a self-organizing society in which the interests of all agents (including individuals, associations, firms, multi-national corporations, political organizations, institutions and governments) are aligned with those of the society as a whole.

 

The Self-Organizing Society: The Role of Institutions
John E. Stewart

Source: papers.ssrn.com

Winter Meeting on Statistical Physics 2017

The XLVI Winter Meeting on Statistical Physics will take place in the city of Taxco, Guerrero, México
from the 8th to the 11th of January 2017

The purpose of the meeting is to bring together the national community of physicists working on statistical physics and related areas, in order to exchange knowledge, results and discuss new lines of research.  We also invite a group of internationally-well known scientists who have made fundamental contributions in their respective fields. This provides the opportunity to exchange ideas between national and foreign colleagues in a pleasant, inclusive and informal environment.
 
The main program consists of plenary and short-talk lectures given by selected invited speakers who present, in a non-technical way, the “state of the art” in their fields of study, as well as their main contributions. We invite students and postdocs to submit abstracts by January 7th to be considered in the poster session.   

Source: sites.google.com

Crossroads in Complex Systems

The conference Crossroads in Complex Systems, will take place at IFISC, Mallorca (Spain), 5-8 June 2017, on occasion of the 10th anniversary of IFISC (Institute for Cross-Disciplinary Physics and Complex Systems, UIB-CSIC) .
Thematic keynote, invited and contributed talks, a poster session, round-table discussions and a public event will contribute to a rich program. The conference aims to represent a broad spectrum of topics on Complex Systems as wide, at least, as the IFISC range of research lines.

Source: crossroads2017.ifisc.uib-csic.es