Implications of a machine economy

TagBlockchaingers Hackathon

Natural ecosystems to inspire machine ecosystems

The Machine Economy track at the 2018 Blockchaingers Hackathon asks teams to build a machine-to-machine-ecosystem, that disrupts our current system, and that is beneficial to society. This is not an easy task and it can be hard knowing where to start. Maybe nature can provide some inspiration. Let’s look at how ecosystems are organized, and how nature is abundant towards all participants...

Emergence as a solution to overengineering

More is better. Our brains seem hardwired to it. Maybe it has to do with laziness, or perhaps just comfort. But we humans tend to overengineer everything, from our almost empty or often unused cars, to our ridiculously overpowered smartphones and laptops, which we use for Facebook and Candy Crush Saga. There are many examples, but the point is: a lot of our stuff is overspec’d and underutilized...

Envisioning a new society

We are all children of our time. Everything we have today is normal to us, but this is an illusion. Hot water from the tap wasn’t there 50 years ago, in some areas not even running water. Houses from the eighties have very few sockets, compared to the current demand. Cabling for internet or tv isn’t tucked away nicely into the wall. We are now taking steps towards a machine economy. At...

Algorithms inspired by swarm behaviour

With autonomous machines you almost automatically touch on swarming. But what is swarming? There are two ways of looking at it: how and why. By imitating the how, we might get some nice optimizations, but the why is where the real benefits are. Locust preventing collisions Locust filter out excess stimuli to have enough brain capacity to react to relevant signals. It only recognizes movements...

Biomimicry: information and the Machine Economy

The Machine Economy track on the world’s largest blockchain Hackathon challenges you to go way beyond the current paradigm. But how do you rethink a future ecosystem? Nature could be inspiration. It’s been scrumming and iterating its ecosystems for 3.8 billion years. There’s some interesting concepts to be learned from it, through Biomimicry. Biomimicry Biomimicry means learning...

Implications of a machine economy