[ACT-R-users] similarity in partial-matching/blending

[Kelley, Troy D CIV (US)]

Laura,

"Dynamically during runs" sounds interesting.  I have also been thinking
that using something like Latent Semantic Analysis (LSA) or the similarity
values in ConceptNet might be a useful way of setting the initial values.

Troy D. Kelley
RDRL-HRS-E
Cognitive Robotics and Modeling Team Leader
Human Research and Engineering Directorate
U.S. Army Research Laboratory
Aberdeen, MD 21005
Phone 410-278-5869 or 410-278-6748
Note my new email address: troy.d.kelley6.civ at mail.mil



On 4/22/13 10:27 AM, "Laura Hiatt" <laura.hiatt at nrl.navy.mil> wrote:

> Hi All,
> 
> I am looking for pointers to papers or work on partial-matching/blending that
> utilizes similarity values between chunks.  Much of what I have read using
> these mechanisms relies on numerical values (like blending utility values).
> Lately we have been working on studying similarity between chunks, and how we
> can calculate it dynamically during model runs; I would love to be able to
> compare what we've come up with to some other approaches to similarity.
> 
> Thanks,
> Laura
> 
> 
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Troy D. Kelley
RDRL-HRS-E
Cognitive Robotics and Modeling Team Leader
Human Research and Engineering Directorate
U.S. Army Research Laboratory
Aberdeen, MD 21005
Phone 410-278-5869 or 410-278-6748
Note my new email address: troy.d.kelley6.civ at mail.mil