Misgana etc., Summarizing our discussion in the office today...
1) Load ConceptNet and WordNet into the Atomspace (this should take many GB but there are instances on AWS with loads of GB of RAM) 2) Experiment A) -- feed the system 10 articles on insects to read -- feed the system 5 articles on poisons to read [but not on insecticide -- other kinds of poisons] -- see if insecticide-related Atoms pop up in the Attentional Focus (they should) 3) Experiment B1) -- feed the system 10 articles on insects to read -- feed the system 5 articles on poisons to read [but not on insecticide -- other kinds of poisons] -- feed the system one article on insects Experiment B2) -- feed the system 10 articles on insects to read -- feed the system 5 articles on poisons to read [but not on insecticide -- other kinds of poisons] -- feed the system one article on cars Here what we want to observe is whether in B1, the switch of attention from poisons back to insects, is faster than in B2, the switch of attention from poisons to cars 4) Now, take this same Atomspace with ConceptNet and WordNet in it, and load in Simple English Wikipedia. The goal is not to have the system remember SEW, but rather to have it build HebbianLinks based on the SEW articles it is reading. We can have the Forgetting agent run, so that the Atoms read from prior SEW articles will be forgotten to make room for the Atoms from newly read SEW articles.... (i.e. the new sentences from SEW articles will have high STI but low LTI, whereas the Atoms from WordNet and ConceptNet will have high LTI and thus be unlikely to get forgotten...) Then, re-run experiments A and B on this Atomspace with all the HebbianLinks in it An interesting parameter to play with here, is the amount of STI spreading that goes along HebbianLinks versus other links This gives a chance to play with the role of weak links in stabilizing networks, as discussed e.g. in the excellent book https://www.amazon.com/Weak-Links-Universal-Stability-Collection/dp/3540311513 A hypothesis is that the presence of the weak HebbianLinks in the Atomspace will cause the behavior on experiments A and B to be better (i.e. more insecticide stuff in the AF in experiment A; more rapid switch back to insects in experiment B) ... .... These experiments should help us tune ECAN to work sensibly on large, moderately messy Atomspaces ... and from here we should be able to move on to using ECAN to help provide guidance to PLN for common-sense inferences... -- Ben -- Ben Goertzel, PhD http://goertzel.org “I tell my students, when you go to these meetings, see what direction everyone is headed, so you can go in the opposite direction. Don’t polish the brass on the bandwagon.” – V. S. Ramachandran -- 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/msgid/opencog/CACYTDBdEaKTCOQ-tD1uhA45M6DF8hizwHHE5DvDmh0BCN-UNnw%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
