Implications of a machine economy

TagSmart swarming

Cattle herding and biological carbon sequestring with robots

This post is related to the post about Australian bushfires. It dives deeper into the possibilities IOTA offers regarding solutions mentioned there. Over time we’ll develop this into a usecase that can explored in a hackathon. [This post only contains some basic ideas on how to use IOTA, but does not go into the details of how to build it. It would require much more research in order to...

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...

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...

Nature as inspiration for the world’s largest Hackathon

In April 2018 the largest blockchain hackathon in the world will be organized in the Netherlands by Blockchaingers. On 8 February a Deep Dive was held in Amsterdam for the track Machine to Machine economy (M2M) to prepare and excite the teams and other interests parties. I was asked to inspire the participants with a few examples from nature. Machine2Machine Deep Dive All speakers at the Deep...

Implications of a machine economy