Hi Ivan, Your work sounds very exciting ... would be great to hear more about it.
I think one issue with the approach you are describing is that you have to assume the knowledge of a second language and a mapping, in principle, from the first to the second. I think systems that aim to self-learn (unsupervised) try to omit such an a-priori mapping because it would (presumably) make the knowledge capture process non-scalable. So, you end up with a system that tries to self learn meaning of system A on its own terms (and via "meta-cognitive" strategies derived from the machine learning approach at hand- which are by definition meaning agnostic) ... so i wonder where is the meaning in this kind of machine . -- if the semantic graph is actually constructed out of the machine learned parse of natural language text without a predefined mapping to a semantic graph (which is what ones want to build in the first place). I think this is essentially what confuses me -- if i managed to explain it correctly ... . Daniel On Friday, 14 April 2017 14:07:08 UTC+3, Alex wrote: > > Hi! > > What is the best texbook (most relevant to Opencog Node and Link Types) in > Knowledge representation? I am aware about books about PLN and egineering > AGI (and I am reading them and they are relevant to probabilisti reasoning > side of knowledge represenatation), but I feel that e.g. concepts of > inheritance (extensional and intensional) as adopted by OpenCog Atomsapce > is coming from earlier work - so from what work? I would like to see this > work, to include it into broader context. I have adapted to UML, ER, OO > design and I am still struggling to model knowledge using OpenCog nodes and > links. That is why I am seeking more books to dive into this line of > thinkin. > > I am reading now: > Knowledge Representation and Reasoning (The Morgan Kaufmann Series in > Artificial Intelligence) > <https://www.amazon.co.uk/Knowledge-Representation-Reasoning-Artificial-Intelligence/dp/1558609326/ref=sr_1_1?s=books&ie=UTF8&qid=1492167755&sr=1-1&keywords=knowledge+representation>17 > > Jun 2004 > by Ronald Brachman and Hector Levesque Dr. > -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/54b5f383-e6a3-41bb-b2ee-64f7f7cc3c8f%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
