What is the relation between OpenCOG and Expert System at this stage in 
2017 ?
If OpenCOG is not basically an Expert System, does it exhibit all Expert 
System's properties?

I would be grateful if you Ben could provide an answer that elucidates 
this, as I've found some of your states comparing Watson and OpenCOG:
*"Watson is basically a huge expert system with a knowledge base, fueled by 
information extraction."*
*"OpenCOG, once properly developed, will be a completely different sort of 
animal than Watson. Watson is ultimately a one-trick pony – and an 
architecture that can be used to create a series of other one-trick ponies, 
with a lot of human energy and innovation required for each. For instance, 
to make a Watson type system for the medical field, as IBM is now striving 
to do, is not mainly a matter of giving Watson medical data and having it 
learn. It involves a massive amount of domain-specific human effort. This 
is because Watson is not a general intelligence – it lacks the ability to 
generalize. But the whole point of an AGI architecture like OpenCog is that 
it will have the ability to achieve its goals in complex environments (like 
the real world) by GENERALIZING from its prior experience, rather than 
having to be specifically reprogrammed for each new kind of situation it 
has to deal with.*" (Source 
<https://nextbigfuture.wordpress.com/2013/07/15/ben-goertzel-is-on-a-mission-to-build-an-ai-toddler/>
)

At the first view it looks like AtomSpace is basically a Knowledge Base, 
and the MindAgents are Inference Engines, that makes OpenCOG look like an 
Expert System according to this definition: *"An expert system is divided 
into two subsystems: the inference engine and the knowledge base. The 
knowledge base represents facts and rules. The inference engine applies the 
rules to the known facts to deduce new facts"* (Source 
<https://en.wikipedia.org/wiki/Expert_system>)

Thanks,
   Andrei

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