@Lock
Yes… triples can be nested to any depth… hammer-madeof-(iron-mass->100), etc.
Yes… the ‘triples tree’ does have cross links, loads of them lol.
Making ‘discoveries’ is not actually my main goal with KorrBot, learning and conversation are key… and the data structures. The bot is using standard rules and searches to link simple words/ concepts (collections of words/ variables) together.
As far as my main project goes… I think your definition of ‘discoveries’ is a little grand for what the system is achieving at the moment.
Remember our conversation on my project thread.
http://aidreams.co.uk/forum/index.php?topic=10804.msg51381#msg51381All discoveries are made by recognising commonalities between diverse concepts.
Understanding is achieved by recognising commonalities between similar concepts.One of the learning mechanisms we use is recognising commonalities. This happens at many different levels/ resolutions within the connectome. Even down to learning to see… your visual cortex is basically recognising the commonalities between the frequency patterns being generated by the rod/ cone/ ganglion cells behind your retina.
So in my AGI videos when you see a pattern being injected into the connectome, and the bar graph rises to signal confidence in recognising that single pattern, even that is a type of ‘discovery’. I’ve not shown or taught the AGI how to learn/ categorise or even distinguish between the patterns, it’s ‘discovered’ how to do it all on its own. It’s this mechanism/ ability once compounded over many layers of complexity that will enable the AGI to make the kind of ‘discoveries’ I think you have in mind.
KorrBot requires a totally different type/ style of programming/ thinking to my main project. By running two projects with similar goals but totally different schemas I’m leveraging my brains natural ability to cross link/ find commonalities/ make ‘discoveries’ that could hopefully help me with both projects.
