You are missing the point. Each application runs on its network. Applications have tokens, and the validators of their networks are provided with incentives through their own tokens. Each application is its own blockchain. ADAPT is just a code base. It doesn’t need a token.
I disagree with you. The game that drives TCRs is very primitive. If it is akin to machine-learning than where is the feedback loop that “trains” the system to curate correctly? Or elaborate on what the process is that causes the “convergence”. And finally, please provide examples of such questions that, in your view, would converge to a “right” answer. Thanks
If there is a City Hall in the picture I’d be interested to talk, not just type :) I just followed @mcorning1 on twitter, feel free to PM me (@coinfund_al)
The point is that anything computable is only computable from available information. When it comes to motivation, even complete information about an agent isn’t always enough — you have to know all that which determines its motivations. So, if a robot is reprogrammable, then to predict its behavior you also must account for the motivations of the…