We have a probabilistic logic engine (PLN) which works on (optionally
probabilistically labeled) logic expressions This logic engine
can also help with extracting semantic information from natural
language or perceptual observations. However, it's best used together
with other methods that c
Hi Linas,
How do you propose to learn an ontology from the data -- also, what purpose
would, in your opinion, the learned ontology serve. Or stated differently,
in what way are you thinking to engender higher-level cognitive
capabilities via machine learned bundled neuron (and implicit ontolog
On Tue, Apr 18, 2017 at 3:22 PM, Alex wrote:
> Maybe we can solve the problem about modelling classes (and using OO and
> UML notions for knowledge representation) with the following (pseudo)code
>
> - We can define ConceptNode "Object", that consists from the set or
> properties and functions
>
Hmmm...
Instead of
***
- We can require that any instance is inherited from the concrete class:
ExtensionalInheritanceLinks
invoice_no_2314
VATInvoice
***
I would think to say
MemberLink
invoice_no_2314
VATInvoice
DefiniteLink
invoice_no_2314
(where the latter indicates t
Maybe we can solve the problem about modelling classes (and using OO and
UML notions for knowledge representation) with the following (pseudo)code
- We can define ConceptNode "Object", that consists from the set or
properties and functions
- We can require that any class e.g. Invoice is the inh
