Thanks for your reply. I am still experimenting, and it's mostly at the paper phase.
As naive as it may sound, I am trying to teach a machine common sense in reflexion processes, so that it could help us find answers to universe's biggest questions.
My conviction is that human beings uploaded enough knowledge online for a machine to map it, and with the right "intelligence" to connect the right nodes and provide solutions to questions we're asking ourselves, say "what is consciousness?".
To start, I'm trying to teach a machine how to reply to the question "how to build a car?". It implies teaching a machine enough "common sense" for it to have a "satisfaction function" (function evaluating the current iteration while browsing a recursive transition network) defining what is the a satisfying depth of answer: well, we need wheels, an engine... (and not "well, we need screws, paint...").
Do you know of anyone working on this? I'm browsing frenetically the eternal golden braid, it provides good insights.