[ACT-R-users] Saving a model's state
David Cserjan
david.cserjan at univie.ac.at
Wed May 8 07:56:40 EDT 2024
Dear Wolfgang,
Have you looked into the /save-chunks-and-productions.lisp /in the
extras folder? I never tried it but to me it reads as if it could do
what you are looking for!
the readme:
> The save-chunks-and-productions.lisp file defines a new command called
> save-chunks-and-productions that can be used to write a model's current
> declarative memory, set of productions, general parameters related to
> declarative and procedural, the appropriate chunk and proceduction
> parameters, and the chunks currently in buffers out to a model file.
>
> It can be loaded by calling (require-extra "save-model") and that
> can be placed into a model file to have it loaded automatically.
> Alternatively, one can put the save-chunks-and-productions.lisp file
> into the tools directory of the distribution to have it always loaded
> or it can be explicitly loaded as needed.
>
> To use it call the save-chunks-and-productions function passing it
> a string which indicates a file to open and write the model information
> into.
>
> More details on exactly what is saved and how to call the new command
> can be found in the comments of the save-chunks-and-productions.lisp
> file.
Best,
David
Am 08.05.2024 um 13:44 schrieb Schoppek, Wolfgang:
>
> Hi all,
>
> I’m wondering if anybody has written a LISP function that creates
> ACT-R code from the current state of the model that can be included in
> an existing model in order to load the last state of the model at a
> later point in time. For my purposes, something like that for new
> chunks would suffice.
>
> An example:
>
> My model has created the new chunks chunk23, chunk34, chunk45.
>
> I can get a list of those using sdm.
>
> I can print their parameters using sdp.
>
> What I’m looking for is a function that translates this into something
> like
>
> (add-dm
>
> (chunk23 isa …)
>
> (chunk34 …
>
> …
>
> (sdp chunk23 :reference-count 5 …)
>
> (sdp chunk34 …
>
> …
>
> … which I can add to my model later to start it from the state it
> reached at the end of the last run.
>
> Wolfgang
>
>
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