Am 23.03.2013 um 17:15 schrieb Onno Meyer <[email protected]>: > Thomas replied to me: >> For my understanding, that rule about limiting the skill of a (robot) >> program to the skill of the programmer should be ignored if we talk about >> "commercial" software as for your battle suit. Of course the rule make sense >> if you have a single coder doing the software, but for a professional team >> of developers (perhaps even supported by a proper KI …) it should be >> possible to create something that increases the skill(s) of all single >> members of the team. > > Hello Thomas, > > in my experience, software projects fail if none of the 'techies' understands > what the customer wants. It doesn't have to be the best programmer in team, > and it could be it is actually someone from the customer side who happens to > 'think like a techie' and who translates the requirements, but some sort of > cap based on subject matter experts makes sense.
I share this experience; in fact, it is common knowledge. Therefore, in an ideal world subject matter experts will be part of the developer team. There will be also members on the team with a scientific view on the topic, allowing them to come up with advanced problem solving strategies that are not usually known by the SMEs. As you know, none of programmers of the hottest chess programs played chess on the same level as the programs, not even close. But there were mathematicians on the team who understood and mastered theory of games. > >> In addition, a neural net is a "self-learning" piece of soft- and/or >> hardware. As I understood "accumulated skill" in a character, this is >> proportional to time (and effort) spent on study and training. As a "silicon >> based mind" could learn faster and memorise better than a biological one >> (and is easier to reproduce …) I would say that such a (robot) program could >> outrun the skill level of its original creator by multitudes. > > There is the -- possibly apocryphal -- story of the team which tried to teach > a neural net to tell pictures of a forest with tanks from pictures of a > forest without tanks. The neural net got very good at telling pictures from > one day (the day when tanks were on the range) from pictures of the other > days. > Of course, there is a risk when you leave a neural net alone when learning; in your sample, the pictures with the tanks showed also blue sky, while the wheather was bad on those without tanks. So the neural net learned to distinguish good wheather from bad wheather, and not to detect tanks. But back in our ideal world, a commercial product of the far future will be based on that experience, and has avoided this mistake. > Say you have an AI trained to an impressive skill level and you want it to > self-learn to become better. Like any other character in that situation, it > would be learning without a teacher, without books, on the job. The GM should > ask the players just what that job is … Not one AI, dozens, hundreds. Each time a device returned from the field it exchanges its new experiences with all the others. The knowledgebase of Version 1 is used to create that for Version II, so that your Battlesuit Mk. VII can look back on the experience of 200 years of infantery combat even on the day it leaves the factory. > > Regards, > Onno > _______________________________________________ > GurpsNet-L mailing list <[email protected]> > http://mail.sjgames.com/mailman/listinfo/gurpsnet-l Confessed, that is the ideal world from the marketing leaflets. Part of the game would be to find out where the sales blabla deviates from product reality. -- Thomas Thrien Allemagne Geo 51° 28' 12" N 7° 32' 17" E Es heißt, der Klügere gibt nach. Doch wenn die Klügeren immer nachgeben, dann passiert nur noch, was die Dummen wollen … Of course it has a meaning when a black cat crosses your way from left to right … It means, that the cat, coming from your left, wants to go somewhere right from you ... -- Thomas Thrien Obermarkstraße 3 Berghofer Mark 44267 Dortmund Allemagne Tel. +49 231 7285456 Mobil +49 171 5289503 email [email protected] Geo 51° 28' 12" N 7° 32' 17" E Es heißt, der Klügere gibt nach. Doch wenn die Klügeren immer nachgeben, dann passiert nur noch, was die Dummen wollen … Of course it has a meaning when a black cat crosses your way from left to right … It means, that the cat, coming from your left, wants to go somewhere right from you ... _______________________________________________ GurpsNet-L mailing list <[email protected]> http://mail.sjgames.com/mailman/listinfo/gurpsnet-l
