Gym



In 2040 Machine Learning provides survival solutions.

Game-based rewarding is making sure everybody has food and shelter.

Can we take the best data driven innovations (agents) and play Simcity (Environment) for real?

Let's start with 10% Oss. In 4 Extremes. 


http://gym.silk.co/page/10-Oss



Can we turn FoodGame characteristics and events into real world numerical data ?

For example a windturbine has technical features in generating megawatts electricity. A certain type off farm has data in usage, waste and production.

With that we can start to play ''SimCity" for real !

(on paper)

We love OpenAI,

what if we use the semantics with human intelligence ?

Environment = A Region
Agent = Asset Ambition
Action = One Event
Observation = Published Feedback
Reward = Achieving KPI Threshold