[ACT-R-users] Inter-subject variability in declarative memory

Cleotilde Gonzalez coty at cmu.edu
Wed Jul 11 15:42:18 EDT 2012


Hi David, 
   I have been messing around with the decay and the activation noise
parameters for some time now :-), although only more recently I am starting
to be more organized about the value of these parameters in repeated choice
tasks. You can see our approach in these papers:

http://www.hss.cmu.edu/departments/sds/ddmlab/papers/GonzalezDutt2011_psychr
eview.pdf
http://www.hss.cmu.edu/departments/sds/ddmlab/papers/Gonzalezetal2011Games.p
df
http://www.hss.cmu.edu/departments/sds/ddmlab/papers/GonzalezDuttLebiere-Pro
ofs-JOCS_uncorrectedproofs.pdf

the Games papers uses distribution rather than point-based parameters. I'd
be happy to talk to you about these.

Coty
   

-----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 David Reitter
Sent: Wednesday, July 11, 2012 3:35 PM
To: act-r-users at act-r.psy.cmu.edu
Subject: [ACT-R-users] Inter-subject variability in declarative memory

Most ACT-R models seem to assume a "standard mind", an average cognitive
system, with the same (global) parameters set for each simulated subject.
Particularly, the base-level decay parameter alpha (:bll) is not one to mess
with - modelers usually leave it at 0.5.

That said, humans differ in their memory abilities.  

I am interested in any empirical and modeling work that explores the
distribution of declarative memory parameters (such as alpha and the rather
model-dependent base-level constant).  Can we assume a normal distribution
around alpha=0.5?  How wide is it?

Much work has been done on short-term and working-memory capacity.  However,
if you are aware of work relating ACT-R with its integrated perspective on
short-term and long-term memory and inter-subject variability, please let me
know.  If I get a lot of answers, I will post a summary here.

Thanks,
David



--
Dr. David Reitter
Research Psychologist, Department of Psychology, Carnegie Mellon University
08/2012: Assistant Professor of Information Sciences and Technology, Penn
State University http://www.david-reitter.com


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