You could look at the papers published in past AGI conferences for people/topics that seem relevant or worthwhile. E.g. AGI 2013, AGI 2012. There's also a Journal of Artificial General Intelligence whose past issues you could browse.
For something more "mainstream-friendly", there are the various computational cognitive architectures that have been developed in cognitive psychology, such as ACT-R and LIDA. Stan Franklin, one of the people behind LIDA, has also had some involvement with the AGI community.
Am I naive to hope that I can do anything useful and fulfilling (based on the given data) in this area ("strong AI")?
I don't know what the requirements for a Bachelor's thesis at your university are, but at mine, you could do a Bachelor's thesis that was basically just a literature review and didn't even try to produce any new information. Even if you couldn't actually contribute anything new at this point, even taking this opportunity to familiarize yourself with the existing work in the field would probably be useful for your future efforts.
Subscribe to RSS Feed
= f037147d6e6c911a85753b9abdedda8d)
At least if you're going by the "AGI is all about math" route. If one takes the "AGI is more about cognitive science and psychology" approach, then they don't necessarily need to be quite that good at math, though a basic competence is still an absolute must.
Thank you for answer.
Could you redirect me to somewhere, where I could find what problems/directions are you talking about? Since I'm not so shining mathematician, maybe I could contribute in these areas, which I found similar interesting.