RE: Re: What are useful for a phd?

From: Anthony Mak (anthony.mak@iname.com)
Date: Thu Dec 07 2006 - 15:13:42 MST


Thanks for all your advices :)

It seems many people agree on these areas for FAI:
Agent, bayesian, moral philosophy, cognitive science
And I will definitely look at the websites of AGI community.

What about logic/symbolic reasoning? I seem to get a mix opinion on this.
Is logic not useful for FAI? If not, why not? For example,
wouldn't these have some relevant non-monotonic
Reasoning, belief revision, ontology, commonsense reasoning,
deontic logic, operations research, constraint programming...etc?

Does Novamente has some logic components?

As for machine learning, besides bayesian and GA, how relevant do any
of you think the following are? SVM, reinforcement learning,
gaussian process, Kolmogorov/Solomonoff etc. And, what other ML areas
can I watch out for?

I haven't heard recommendation for AI planning, so I am a bit surprised.
Shouldn't a strong AI needs some sorts of planning?

Eliezer: by Evolutionary psychology is it generally subsumed by a cognitive
science course?

Anthony



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