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A digital ecosystem is a distributed, adaptive, open socio-technical system with properties of self-organisation, scalability and sustainability inspired from natural ecosystems. Digital ecosystem models are informed by knowledge of natural ecosystems, especially for aspects related to competition and collaboration among diverse entities.
 
A digital ecosystem is a distributed, adaptive, open socio-technical system with properties of self-organisation, scalability and sustainability inspired from natural ecosystems. Digital ecosystem models are informed by knowledge of natural ecosystems, especially for aspects related to competition and collaboration among diverse entities.
  
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===Our goal===
 
===Success metrics===  
 
===Success metrics===  
 
===Measuring the goal===
 
===Measuring the goal===

Version du 21 mars 2016 à 18:20

The socio-technical properties of digital environments as a defined measurable and verifiable goal

Learning from the AlphaGo

In March 2016, AlphaGo beat Lee Sedol in a five-game match, continuing the long tradition of machines learning from, competing and surpassing humans. Is it about time for humans to learn from "computers and networks" or, else, computer and network mediated environments.

Digital environments

A digital ecosystem is a distributed, adaptive, open socio-technical system with properties of self-organisation, scalability and sustainability inspired from natural ecosystems. Digital ecosystem models are informed by knowledge of natural ecosystems, especially for aspects related to competition and collaboration among diverse entities.

Our goal

Success metrics

Measuring the goal

State of the art

Technological barriers

Submitter's role: coordination

Funding the grand challenge work

Additional background material