Obtaining incremental inferences

[daniel86]

Hello again,

I would like to use pyfactxx in an incremental fashion where initially I load some files, and during runtime mainly object and data roles are asserted and retracted.
I am now wondering about whether there is a smart way to obtain a list of all new inferences after calling classify/realize, and also which previous inferences were removed.
This information could be obtained be keeping the list of previous inferences in my code, but that seems not optimal.

Is there some way I am not aware of? Maybe to hook an event handler into the reasoner that gets a call for every change?

Best,
Daniel

[irygaev]

Hi Daniel!

Thank you for your question.

Unfortunately, incremental reasoning is not supported (yet). The second call to realise() won't produce any new inferences as FaCT++ remembers that the KB is already realized and doesn't do anything in this case.

However, you can query asserted or inferred triples separately if you specify scope parameter in the call to Coras.query method. The scope can be asserted, inferred or both (default).

Ivan.

[daniel86]

Hi Ivan,

oh really? I was not assuming a second call would do nothing when additional facts were added until the last call.
I was thinking it might be possible due to the par in the README about persistent and incremental reasoning. Is this functionality of the C++ implementation which is not yet exposed to Python?

oh yes, I found this line:

pyfactxx/Kernel/Kernel.h

Line 882 in 814bfe9

if ( !isKBRealised() )

So your response suggests you are planning to support incremental mode at some time?

FYI: I am considering a use case where a robot manages a knowledge base over time, during the course of its action it grounds new knowledge in its action and perception which I would like to incrementally add/remove to/from reasoning systems in the knowledge base.

Best,
Daniel