Ok : ) On Thu, Jun 1, 2017 at 5:17 PM, 'Nil Geisweiller' via opencog < opencog@googlegroups.com> wrote:
> On 06/01/2017 04:59 PM, Shujing Ke wrote: > >> Oh, another question: is to mine patterns that contains at least one >> ExecutionOutputLink, or to mine patterns that only contains >> ExecutionOutputLinks and the Links inside ExecutionOutputLinks? >> > > I'd say all of them, at any depth. The corpus I gave you is not gonna > contain any useful pattern anyway, it's just an exercise at this point. > > Nil > > >> On Thu, Jun 1, 2017 at 3:52 PM, Shujing Ke <shujin...@gmail.com <mailto: >> shujin...@gmail.com>> wrote: >> >> OK, I will try to mine EOLs first. Thanks : ) >> >> Shujing >> >> On Thu, Jun 1, 2017 at 7:25 AM, Nil Geisweiller >> <ngeis...@googlemail.com <mailto:ngeis...@googlemail.com>> wrote: >> >> Hi, >> >> On 06/01/2017 01:32 AM, Shujing Ke wrote: >> >> Hi, Nil and Ben, >> >> I studied the corpus. Is each BindLink one instance of >> inference? So >> >> >> Yes. >> >> that each BindLink should be considered as primitve / atomic >> - one pattern should be one BindLink; any Links inside a >> BindLink should not be mined separatly, right? For example, >> >> >> No they can and should be mined separately as well. Specifically >> what we are interested in are the structures of >> ExecutionOutputLink (EOL). The third argument of an inference >> BindLink is systematically gonna be an EOL wrapping other EOLs, >> and we are mostly interested in mining these EOLs. But >> ultimately mining the whole BindLink might be useful too. We may >> want to do both, but for starter only mine patterns with an EOL >> as root link. >> >> >> >> (InheritanceLink >> (VariableNode "$X") >> (PatternVariableNode "var1") >> ) >> (InheritanceLink >> (VariableNode "$X") >> (VariableNode "$B-6266d6f2") >> ) >> (InheritanceLink >> (VariableNode "$B-6266d6f2") >> (PatternVariableNode "var1") >> ) >> >> This is a pattern that may be mined by patten miner from the >> PLN corpus under a general purpose. But it is not that kind >> of expected patterns as descriped in >> http://wiki.opencog.org/w/Pattern_Miner_Prospective_Examples >> #patterns_in_PLN_inference_histories >> <http://wiki.opencog.org/w/Pattern_Miner_Prospective_Example >> s#patterns_in_PLN_inference_histories> >> >> Actually, the particular goal here is not to mine any >> connected patterns freely, it is to mine a particular type >> of patterns - abstraction of BindLinks of the same >> structures. If two BindLinks have different structures, even >> they share one or several Nodes, patterns still should not >> be extracted from them. For example, >> >> (BindLink >> (LinkTypeA >> (NodeType_a "someNode1") >> (NodeType_b "someNode2") >> ) >> (LinkTypeB >> (NodeType_c "someNode3") >> (LinkTypeC >> (NodeType_c "someNode3") >> (NodeType_d "someNode4") >> ) >> ) >> ) >> >> >> (BindLink >> (LinkTypeA >> (NodeType_a "someNode1") >> (NodeType_e "someNode5) >> ) >> (LinkTypeD >> (NodeType_e "someNode5") >> (NodeType_f "someNode6") >> ) >> ) >> >> This two BindLinks share the same Node (NodeType_a >> "someNode1"), a common pattern of (LinkTypeA) can be >> extracted for mining general patterns, but these two >> BindLinks have different structures - the first BindLink >> contains a LinkTypeA , a LinkTypeB and a LinkTypeC; the >> second BindLink contains a LinkTypeA and a LinkTypeD. So >> despite the ultimate goal of AGI, to learning this type of >> patterns more effectively, it's better to find all the >> BindLinks with same structures, and then apply some kind of >> induction learning algorithm on them. What do you think? >> >> >> No we want to extract patterns across BindLinks (or EOLs) that >> have different structures, what I believe the pattern miner is >> good at, right? >> >> Nil >> >> >> But I will still give it a try with Pattern Miner. >> >> >> >> On Tue, May 23, 2017 at 4:06 PM, Nil Geisweiller >> <ngeis...@googlemail.com <mailto:ngeis...@googlemail.com> >> <mailto:ngeis...@googlemail.com >> >> <mailto:ngeis...@googlemail.com>>> wrote: >> >> Hi, >> >> I've corrected the inferences (note that ExecutionLink >> are actually >> ExecutionOutputLink because the "inference trails" are >> actually >> inferences to be executed rather than records). >> >> Also I've attached a file with ~500 inferences obtained >> from running >> the BackwardChainerUTest, can generate many more if >> needed. >> >> Nil >> >> On 05/21/2017 06:17 PM, Ben Goertzel wrote: >> >> Nil, >> >> I wrote down our two sketchy examples of patterns >> to be mined >> from PLN >> inference patterns, from our F2F discussion last >> week, here: >> >> http://wiki.opencog.org/w/Pattern_Miner_Prospective_Examples >> #patterns_in_PLN_inference_histories >> <http://wiki.opencog.org/w/Pattern_Miner_Prospective_Example >> s#patterns_in_PLN_inference_histories> >> <http://wiki.opencog.org/w/Pat >> tern_Miner_Prospective_Examples#patterns_in_PLN_inference_histories >> <http://wiki.opencog.org/w/Pattern_Miner_Prospective_Example >> s#patterns_in_PLN_inference_histories>> >> >> It will be good if you can write these out in the >> fully explicit >> Atomese format that PLN actually uses to save its >> inference >> histories... >> >> thx! >> ben >> >> >> >> >> > -- > 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 opencog+unsubscr...@googlegroups.com. > To post to this group, send email to opencog@googlegroups.com. > Visit this group at https://groups.google.com/group/opencog. > To view this discussion on the web visit https://groups.google.com/d/ms > gid/opencog/babb8f59-9817-f9f3-218b-2975cca792d3%40gmail.com. > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "opencog" group. 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