From arunbkris at gmail.com  Thu Aug  5 05:15:42 2021
From: arunbkris at gmail.com (Arun Krishna)
Date: Thu, 5 Aug 2021 11:15:42 +0200
Subject: [ACT-R-users] Question related to the Activation of Chunks and
	Base-Level learning
Message-ID: <CAAS_THdTvSaK+D87fEFufAOgnAPKYPR7VTzhNZgSsH5ZEVr5rQ@mail.gmail.com>

Hi,

I have a question related to the Activation of Chunks and Base-Level
learning.

*Problem Description:*

In the model I am using, the base level learning value is not getting
changed when I use the chunk merging. I am using add-dm command with python
API, where I add the chunks with same slot values and was expecting the
base level learning for the chunks getting increased.

*Reference:*

ACT-R\tutorial\unit4\unit4.pdf,  4.3.2 Chunk Merging section.

*Code:*

In the model I am using I had set the sub symbolic computation

 (sgp : esc t) and (sgp :rt -0.5).

The complete setting for the model is given below

?(sgp :v t :esc t :rt -0.5 :lf 0.4 :ans 0.5 :bll 0.5 :act nil :ncnar nil
:ul t)

(sgp :seed (200 4))?



I am using the python API for add-dm

actr.add_dm(

            [chunkName, "isa", "navigation", "navigationStart",
currentState, "navigationEnd", "state-16",

             "navigationTrigger", trigger])

This API is getting triggered with different chunk names. Chunk-1,
chunk-2,?..chunk 50. All the chunk has same slot values and my expectation
is that the base level learning of every chunk will be modified.

But when I use (pprint-chunks-plus chunk-3) I get

  SIMILARITIES  NIL

   REFERENCE-COUNT  0

   REFERENCE-LIST  NIL

   SOURCE-SPREAD  0

   LAST-BASE-LEVEL  0

   BASE-LEVEL  NIL

   CREATION-TIME  0

   FAN-IN  NIL

   C-FAN-OUT  0

   FAN-OUT  0

   IN-DM  NIL

   ACTIVATION  0

   BUFFER-SET-INVALID  NIL

Could you please let me know how to modify the base level learning and
reference count of these chunks (Which supposed to point to a single chunk
with different reference names since the slot values are same) ?

Thanks & Regards,

Arun
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From db30 at andrew.cmu.edu  Thu Aug  5 09:18:06 2021
From: db30 at andrew.cmu.edu (db30 at andrew.cmu.edu)
Date: Thu, 5 Aug 2021 09:18:06 -0400
Subject: [ACT-R-users] Question related to the Activation of Chunks
 and	Base-Level learning
In-Reply-To: <CAAS_THdTvSaK+D87fEFufAOgnAPKYPR7VTzhNZgSsH5ZEVr5rQ@mail.gmail.com>
References: <CAAS_THdTvSaK+D87fEFufAOgnAPKYPR7VTzhNZgSsH5ZEVr5rQ@mail.gmail.com>
Message-ID: <07072EDAB569366556F36C82@[192.168.0.111]>




--On Thursday, August 5, 2021 5:15 AM -0400 Arun Krishna <arunbkris at gmail.com> 
wrote:

>
>
> Hi,
>
> I have a question related to the Activation of Chunks and Base-Level
> learning.
>
> Problem Description:
>
> In the model I am using, the base level learning value is not getting changed
> when I use the chunk merging. I am using add-dm command with python API,
> where I add the chunks with same slot values and was expecting the base level
> learning for the chunks getting increased.
>
> Reference:
>
> ACT-R\tutorial\unit4\unit4.pdf,  4.3.2 Chunk Merging section.
>
> Code:
>
> In the model I am using I had set the sub symbolic computation
>
>  (sgp : esc t) and (sgp :rt -0.5).
>
> The complete setting for the model is given below
>
> "(sgp :v t :esc t :rt -0.5 :lf 0.4 :ans 0.5 :bll 0.5 :act nil :ncnar nil
> :ul t)
>
> (sgp :seed (200 4))"
>
>
>
> I am using the python API for add-dm
>
> actr.add_dm(
>
>             [chunkName, "isa", "navigation", "navigationStart", currentState,
> "navigationEnd", "state-16",
>
>              "navigationTrigger", trigger])
>
> This API is getting triggered with different chunk names. Chunk-1,
> chunk-2,?..chunk 50. All the chunk has same slot values and my expectation
> is that the base level learning of every chunk will be modified.
>
> But when I use (pprint-chunks-plus chunk-3) I get
>
>   SIMILARITIES  NIL
>
>    REFERENCE-COUNT  0
>
>    REFERENCE-LIST  NIL
>
>    SOURCE-SPREAD  0
>
>    LAST-BASE-LEVEL  0
>
>    BASE-LEVEL  NIL
>
>    CREATION-TIME  0
>
>    FAN-IN  NIL
>
>    C-FAN-OUT  0
>
>    FAN-OUT  0
>
>    IN-DM  NIL
>
>    ACTIVATION  0
>
>    BUFFER-SET-INVALID  NIL
>
> Could you please let me know how to modify the base level learning and
> reference count of these chunks (Which supposed to point to a single chunk
> with different reference names since the slot values are same) ?
>



Add-dm always "adds" a chunk to declarative memory - it does not merge it
into declarative memory.  There is a merge-dm command that works like
add-dm except that it merges the chunks into declarative memory.

However, for modifying the base-level the set-base-levels command allows
one to directly adjust the base-level parameters for a chunk.  It's use
varies depending upon how the parameters for base-level learning are set
(:bll and :ol), and you can find the details in the reference manual.

Hope that helps,
Dan



From arunbkris at gmail.com  Fri Aug  6 03:49:11 2021
From: arunbkris at gmail.com (Arun Krishna)
Date: Fri, 6 Aug 2021 09:49:11 +0200
Subject: [ACT-R-users] Question related to the Activation of Chunks and
 Base-Level learning
In-Reply-To: <07072EDAB569366556F36C82@192.168.0.111>
References: <CAAS_THdTvSaK+D87fEFufAOgnAPKYPR7VTzhNZgSsH5ZEVr5rQ@mail.gmail.com>
 <07072EDAB569366556F36C82@192.168.0.111>
Message-ID: <CAAS_THdqtD+eFAfUBc_hn6By52YcRsrbRzKgXpyDU_Gd7xBRng@mail.gmail.com>

Hi Dan,

Thank you very much.
Now I am able to change the base level learning and strengthen the chunk
using the merge-dm command.

Regards,
Arun

On Thu, Aug 5, 2021 at 3:20 PM <db30 at andrew.cmu.edu> wrote:

>
>
>
> --On Thursday, August 5, 2021 5:15 AM -0400 Arun Krishna <
> arunbkris at gmail.com>
> wrote:
>
> >
> >
> > Hi,
> >
> > I have a question related to the Activation of Chunks and Base-Level
> > learning.
> >
> > Problem Description:
> >
> > In the model I am using, the base level learning value is not getting
> changed
> > when I use the chunk merging. I am using add-dm command with python API,
> > where I add the chunks with same slot values and was expecting the base
> level
> > learning for the chunks getting increased.
> >
> > Reference:
> >
> > ACT-R\tutorial\unit4\unit4.pdf,  4.3.2 Chunk Merging section.
> >
> > Code:
> >
> > In the model I am using I had set the sub symbolic computation
> >
> >  (sgp : esc t) and (sgp :rt -0.5).
> >
> > The complete setting for the model is given below
> >
> > "(sgp :v t :esc t :rt -0.5 :lf 0.4 :ans 0.5 :bll 0.5 :act nil :ncnar nil
> > :ul t)
> >
> > (sgp :seed (200 4))"
> >
> >
> >
> > I am using the python API for add-dm
> >
> > actr.add_dm(
> >
> >             [chunkName, "isa", "navigation", "navigationStart",
> currentState,
> > "navigationEnd", "state-16",
> >
> >              "navigationTrigger", trigger])
> >
> > This API is getting triggered with different chunk names. Chunk-1,
> > chunk-2,?..chunk 50. All the chunk has same slot values and my
> expectation
> > is that the base level learning of every chunk will be modified.
> >
> > But when I use (pprint-chunks-plus chunk-3) I get
> >
> >   SIMILARITIES  NIL
> >
> >    REFERENCE-COUNT  0
> >
> >    REFERENCE-LIST  NIL
> >
> >    SOURCE-SPREAD  0
> >
> >    LAST-BASE-LEVEL  0
> >
> >    BASE-LEVEL  NIL
> >
> >    CREATION-TIME  0
> >
> >    FAN-IN  NIL
> >
> >    C-FAN-OUT  0
> >
> >    FAN-OUT  0
> >
> >    IN-DM  NIL
> >
> >    ACTIVATION  0
> >
> >    BUFFER-SET-INVALID  NIL
> >
> > Could you please let me know how to modify the base level learning and
> > reference count of these chunks (Which supposed to point to a single
> chunk
> > with different reference names since the slot values are same) ?
> >
>
>
>
> Add-dm always "adds" a chunk to declarative memory - it does not merge it
> into declarative memory.  There is a merge-dm command that works like
> add-dm except that it merges the chunks into declarative memory.
>
> However, for modifying the base-level the set-base-levels command allows
> one to directly adjust the base-level parameters for a chunk.  It's use
> varies depending upon how the parameters for base-level learning are set
> (:bll and :ol), and you can find the details in the reference manual.
>
> Hope that helps,
> Dan
>
>
> _______________________________________________
> 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
>
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