[ACT-R-users] ACT-R robot (UNCLASSIFIED)

Tue Jun 24 13:49:49 EDT 2008

Troy, 
This looks like we a sliding into another thread.
Anyhow, you might want to look at the WN/Lexical as another model for
implementing large conceptual models. There is a parameter in WN/lexical to
load Wordnet chunks either in Declarative memory or in the WN/Lexical
module. You might be able to reuse some of the WN/Lexical code.
Bruno

On 6/24/08 1:25 PM, "Kelley, Troy (Civ,ARL/HRED)" <tkelley at arl.army.mil>
wrote:

> Classification:  UNCLASSIFIED
> Caveats: NONE
> 
> Susan,
> 
> We have been looking at using a semantic network as a starting point
> for declarative memory chunks.  There are two major semantic networks that
> we are looking at using.  ConceptNet from MIT and OpenCYC which is a spin
> off of Doug Lenat's work at the University of Texas.  We are still working
> on exactly how to interface a semantic network with declarative memory
> chunks, but I think the general idea has promise. We are also trying to use
> a production syntax so that the same general productions don't have to be
> developed over and over.  Both of these ideas have promise but we are still
> working on the implementations.
> 
> Troy D. Kelley
> AMSRD-HR-SE
> Army Research Laboratory
> Human Research and Engineering Directorate (HRED)
> Aberdeen Proving Ground, Aberdeen MD 21005-5425
> voice: 410-278-5869
> fax: 410-278-9523
> 
> -----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 Susan Chipman
> Sent: Tuesday, June 24, 2008 1:10 PM
> To: Dan Bothell
> Cc: act-r-users at act-r.psy.cmu.edu
> Subject: Re: [ACT-R-users] ACT-R robot
> 
>         As the former sponsor of much of the ACT-R work, I would really like
> to have seen a cumulative library of model building work in order to avoid
> duplication of effort and the associated waste of scarce research funding.
> In particular, it seemed to me that declarative knowledge should not be
> built over and over again.   I retired, so I am no longer in a position to
> push this agenda, but I hope the community will come to such a conclusion
> soon.
>  
> Susan Chipman
> 
> 
> On Tue, Jun 24, 2008 at 12:00 PM, Dan Bothell <db30 at andrew.cmu.edu> wrote:
> 
> 
> 
> 
> --On Tuesday, June 24, 2008 8:04 AM -0700 Bruce J Weimer MD
> 
> <bjweimer at charter.net> wrote:
> 
> 
>> Also, I was wondering as I read the papers, is information that's
> learned
>> during a session with the robot stored or saved when the robot's
> turned
>> off  or is it lost?  I'm reading through the ACT-R tutorials and
> it seems
>> that  each time a model is run, it's reset to run again - there
> (so far)
>> hasn't  been any mention of a mechanism to save the information in
>> declarative  memory, weights, latencies, etc.
>> 
> 
> 
> There is no mechanism built into ACT-R for saving the internal state
> of any
> module or the system in general.  However, depending on what you
> want to
> save, it's usually not too difficult to just cache that out and read
> it
> back in later.
> 
> For example, here's a function which will create a file with the
> commands
> to rebuild the chunks in declarative memory and restore their
> parameters
> (only one of the declarative parameters is included here for
> brevity):
> 
> (defun save-chunks (file-name)
> (let ((chunks (no-output (dm)))
>       (params (no-output (sdp :name :reference-count)))
>       (cmdt (car (no-output (sgp :cmdt)))))
> 
>   (sgp-fct (list :cmdt file-name))
> 
>   (command-output "(add-dm ")
> 
>   (dolist (x chunks)
>     (command-output "(")
>     (pprint-chunks-fct (list x))
>     (command-output ")"))
>   (command-output ")")
> 
>   (dolist (x params)
>     (command-output "(sdp ~A :reference-count ~s)" (first x)
> (second x)))
> 
>   (sgp-fct (list :cmdt cmdt))))
> 
> The file that writes out could then just be loaded later to restore
> the
> model's declarative memory.  A similar function could be written to
> dump
> the productions and their parameters (see the reference manual for
> the
> relevant commands).
> 
> Depending on how the general parameters for the model are set there
> may
> be some other things that would need to be adjusted as well, but
> those
> sorts of things are going to vary from model to model.  One example
> would
> be either advancing the time to where the "old" model left off or
> adjusting
> all of the declarative parameters to reflect the "current" time
> being
> necessary if base-level learning were enabled.
> 
> Dan
> 
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> 
> 
> 
> Classification:  UNCLASSIFIED
> Caveats: NONE
> 
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