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