Hello everyone,

I am Maria Kapros, 4th-year Computer Science student at University College 
London. Have been following the OpenCog work for a year now and figured 
that it would be good to start contributing.

I am writing this message to ask for suggestions regarding the following. I 
am thinking of choosing my dissertation project such that it has some 
relevance to the AGI field and ideally OpenCog if I get my supervisor's 
approval. 

My idea is to work on improving ML algorithms for automated theorem 
proving, along the lines of https://arxiv.org/pdf/1905.10501.pdf. I came 
across this old forum 
(https://community.singularitynet.io/t/automated-theorem-proving-and-agi/255) 
saying that an improved theorem prover would be useful if integrated with 
URE. Is this still an active task that could be picked up? 

If not, what would be a good (challenging from both theoretical and 
implementation p.o.v) starting idea for a dissertation project that would 
be relevant to the OpenCog community? My supervisor's research interests 
are data-efficient learning, reinforcement learning, and meta-learning, so 
I think my previous questions will concern OpenCog's high-level components 
(perhaps MOSES) rather than atomspace.

Many thanks for reading this long message and please let me know what are 
your thoughts regarding my questions.


Best,

Maria




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