To all experienced OpenCog developers ...
We're going to apply for GSoC 2017, and toward that end we need to
make an "Ideas page" to be linked from our application...
Listing a bunch of internship-sized OpenCog projects is a reasonably
useful thing to do anyway, GSoC aside...
I made a page here
On Mon, Jan 23, 2017 at 7:59 AM, 'Nil Geisweiller' via opencog
wrote:
>
> The spread of the second order distribution shrinks as more evidence
> accumulates, so it depends on the number of observations. There is a
> function to translate the count N (number of observations) into confidence
>
> c =
The count of a probability is the "number of observations" on which
that probability is based
The confidence of a probability is a scaling of the count into the
interval [0,1]
There are both heuristic and rigorous formulas for deriving the
confidence associated with the conclusion of a certain pr
Incomplete wikified version of PLN
http://wiki.opencog.org/w/PLNBook
the whole book is available online as well somewhere (can't find it ATM).
Nil
On 01/23/2017 03:59 PM, Nil Geisweiller wrote:
The wiki is not very talkative about this...
Ideally you'd need to read the PLN book.
Said briefl
The wiki is not very talkative about this...
Ideally you'd need to read the PLN book.
Said briefly the confidence captures the spread of the second order
distribution over the true unknown probability. If the confidence is 1
the spread is null. If the confidence is 0 the spread is uniform, tha
Hi All,
What would be the most intuitive (and generally applicable) way of thinking
about 'confidence' in the simple-truth-value system? I know stv consists
of a 'strength' and a 'confidence' part. The strength, if I remember
correctly is representative of the probability of that statement bein
