Complexity Science
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IoT-oriented $7 Orange Pi Zero has both WiFi and Ethernet

IoT-oriented $7 Orange Pi Zero has both WiFi and Ethernet | Complexity Science | Scoop.it
The 48 x 46mm Orange Pi Zero runs Linux or Android on a quad-core Allwinner H2, and offers WiFi, 10/100, microSD, USB host and OTG, and a 26-pin RPi header.

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Advances in Artificial Economics

Advances in Artificial Economics | Complexity Science | Scoop.it

The interactions between Computer Science and the Social Sciences have grown fruitfully along the past 20 years. The mutual benefits of such a cross-fertilization stand as well at a conceptual, technological or methodological level. Economics in particular benefited from innovations in multi-agent systems in Computer Science leading to agent-based computational economics and in return the multi-agent systems benefited for instance of economic researches related to mechanisms of incentives and regulation to design self-organized systems. Created 10 years ago, in 2005 in Lille (France) by Philippe Matthieu and his team, the Artificial Economics conference series reveals the liveliness of the collaborations and exchanges among computer scientists and economists in particular. The excellent quality of this conference has been recognized since its inception and its proceedings have been regularly published in Springer’s Lecture Notes in Economics and Mathematical Systems series. At about the same period, the European Social Simulation Association was created and decided to support an annual conference dedicated to computational approaches of the social sciences. Both communities kept going alongside for the past ten years presenting evident overlaps concerning either their approaches or their members. This year, both conferences have decided to join their efforts and hold a common conference, Social Simulation Conference, in Barcelona, Spain, 1st to 5th September 2014 which will host the 10th edition of the Artificial Economics Conference. In this edition, 32 submissions from 11 countries were received, from which we selected 20 for presentation (near 60 % acceptance). The papers have then been revised and extended and 19 papers were selected in order to make part of this volume.


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The Nerd Watch

The Nerd Watch | Complexity Science | Scoop.it
Hello! Welcome to another Other Machine project tutorial! I'm Sam DeRose, a former Other Machine Co. Summer Intern. I created The Nerd Watch last summ...
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Nonlinear Dynamics Analysis of a Self-Organizing Recurrent Neural Network: Chaos Waning

Nonlinear Dynamics Analysis of a Self-Organizing Recurrent Neural Network: Chaos Waning | Complexity Science | Scoop.it

Self-organization is thought to play an important role in structuring nervous systems. It frequently arises as a consequence of plasticity mechanisms in neural networks: connectivity determines network dynamics which in turn feed back on network structure through various forms of plasticity. Recently, self-organizing recurrent neural network models (SORNs) have been shown to learn non-trivial structure in their inputs and to reproduce the experimentally observed statistics and fluctuations of synaptic connection strengths in cortex and hippocampus. However, the dynamics in these networks and how they change with network evolution are still poorly understood. Here we investigate the degree of chaos in SORNs by studying how the networks' self-organization changes their response to small perturbations. We study the effect of perturbations to the excitatory-to-excitatory weight matrix on connection strengths and on unit activities. We find that the network dynamics, characterized by an estimate of the maximum Lyapunov exponent, becomes less chaotic during its self-organization, developing into a regime where only few perturbations become amplified. We also find that due to the mixing of discrete and (quasi-)continuous variables in SORNs, small perturbations to the synaptic weights may become amplified only after a substantial delay, a phenomenon we propose to call deferred chaos.

 

Eser J, Zheng P, Triesch J (2014) Nonlinear Dynamics Analysis of a Self-Organizing Recurrent Neural Network: Chaos Waning. PLoS ONE 9(1): e86962. doi:10.1371/journal.pone.0086962

http://dx.doi.org/10.1371/journal.pone.0086962

 

 


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Is AI Dangerous? That Depends…

Is AI Dangerous? That Depends… | Complexity Science | Scoop.it
Somewhere in the long list of topics that are relevant to astrobiology is the question of 'intelligence'. Is human-like, technological intelligence likely to be common across ...

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Wireless Microcontroller / PC Interface for $3.21 » SWHarden.com

Wireless Microcontroller / PC Interface for $3.21 » SWHarden.com | Complexity Science | Scoop.it

Here I demonstrate a dirt-cheap method of transmitting data from any microchip to any PC using $3.21 in parts.  I’ve had this idea for a while, but finally got it working tonight. On the transmit side, I’m having a an ATMEL AVR microcontroller (ATMega48) transmit data (every number from 0 to 200 over and over) wirelessly using 433mhz wireless modules. The PC receives the data through the microphone port of a sound card, and a cross-platform Python script I wrote decodes the data from the audio and graphs it on the screen. I did something similar back in 2011, but it wasn’t wireless, and the software wasn’t nearly as robust as it is now.

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FPGA computer and consoles

FPGA computer and consoles | Complexity Science | Scoop.it

This page lists various known FPGA (Verilog and/or VHDL) implementations of classic computers, game consoles and similar. All of these could potentially be ported to the MIST.

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Applying Complexity Science to Management | Collaborative ...

Applying Complexity Science to Management | Collaborative ... | Complexity Science | Scoop.it
This session from the Global Peter Drucker Forum has a lot of gems about management in highly complex situation. Many good hints on leadership for knowledge workers. Introduction Thierry Grange, President of the ...
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