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

[Lynne Reder]

I have a tiny model based on earlier versions of ACT (no production system, just nodes and spreading activation).  Many of the assumptions are the same as the declarative side of ACT-R but some aren't, either by accident (I used what I thought was in the system) or design.  In any case I have been modeling partial matching for years.  The way it works in SAC is that if the component features are activated/primed, they spread activation to associated nodes.  If enough of the features are primed, it can get sufficient activation to get the wrong node over threshold.  We have modeled this in Feeling of Knowing tasks (where we swapped operators), in recognition tasks where the unique font of the probe word matches a studied word and the person FAs, etc.  

If anyone is curious I can point you to the work (some is in the process of being written up for an invited chapter).

Cheers,
Lynne

On Apr 24, 2013, at 10:24 AM, Laura Hiatt wrote:

> Thanks for the great feedback, everyone!  We have a new ACT-R-based approach to similarity that we are developing here, based on base-level / spreading activation values as the model runs (paper at CogSci this sumer); I am looking to test it in a variety of situations (such as blending).  
> 
> Thanks again,
> Laura
> 
> 
> On Apr 23, 2013, at 9:11 AM, "Ball, Jerry T Civ USAF AFMC 711 HPW/RHAC" <Jerry.Ball at wpafb.af.mil> wrote:
> 
>> Laura,
>> 
>> Troy's comment reminds me that Raluca Bidiu used LSA to set similarity
>> values in her research on "the Moses illusion". Here's a paper:
>> 
>> Budiu, R. & Anderson, J. R. (2004). Interpretation-Based Processing: A
>> Unified Theory of Semantic Sentence Processing. Cognitive Science 28, 1-44.
>> 
>> The paper is available on the ACT-R web site under "Language Processing:
>> Analogy and Metaphor".
>> 
>> Jerry
>> 
>> -----Original Message-----
>> From: act-r-users-bounces at act-r.psy.cmu.edu
>> [mailto:act-r-users-bounces at act-r.psy.cmu.edu] On Behalf Of Kelley, Troy D
>> CIV (US)
>> Sent: Tuesday, April 23, 2013 8:35 AM
>> To: Magill, Laura M CIV (US); ACT-R-users at act-r.psy.cmu.edu
>> Subject: Re: [ACT-R-users] similarity in partial-matching/blending
>> 
>> 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
>>> 
>>> 
>>> _______________________________________________
>>> ACT-R-users mailing list
>>> ACT-R-users at act-r.psy.cmu.edu
>>> https://mailman.srv.cs.cmu.edu/mailman/listinfo/act-r-users
>> 
>> 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
>> 
>> 
>> _______________________________________________
>> ACT-R-users mailing list
>> ACT-R-users at act-r.psy.cmu.edu
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> 
> 
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