Telmo: Really impressed by your work.
The generative rules however must have a low descriptive level in terms of lengths of graphs number of connections etc. Am I right? To earn the status of artificial scientist, How these low level terms can be "elevated" to tell something meaningful about the concrete problem studied? For example what the generator rule found for Facebook tell about Facebook? I mean, to find a low level generative rule is impressive but are there more? 2014-09-05 14:20 GMT+02:00 Telmo Menezes <[email protected]>: > Hi all, > > Since people have been talking about AI, creativity etc., I take the > liberty of doing a bit of self-promotion. > > My paper "Symbolic regression of generative network models" has finally > been published and it's open access. Here's a blog post about it: > > > http://www.telmomenezes.com/2014/09/using-evolutionary-computation-to-explain-network-growth/ > > and the direct link: > > http://www.nature.com/srep/2014/140905/srep06284/full/srep06284.html > > The idea of this work is to use genetic programming to evolve plausible > bottom-up network generators. In a sense, the system automatically looks > for and validates theories on how a given network was formed. > > Cheers, > Telmo. > > -- > You received this message because you are subscribed to the Google Groups > "Everything List" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > Visit this group at http://groups.google.com/group/everything-list. > For more options, visit https://groups.google.com/d/optout. > -- Alberto. -- You received this message because you are subscribed to the Google Groups "Everything List" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/everything-list. For more options, visit https://groups.google.com/d/optout.
