On 2013/04/07, at 11:02, Piaget Modeler <piagetmode...@hotmail.com> wrote:

> Could be deep neural networks, could also be constructivist symbolic neural 
> net or 
> hypothesis driven constructive induction (e.g. AQ17), or other induction 
> methods 
> (e.g., the Cruncher, or Ubercruncher).  
> 
> At this point I don't see any difference between a sign and a synthesized 
> internal concept.

OK, thank you.

Then, is the output of the decoder component a symbolic description of 
the scene (which may be a subset of a semantic net )?

--
AN

> From: naoya.arak...@nifty.com
> Subject: Re: [agi] Semiosis
> Date: Sun, 7 Apr 2013 10:30:23 +0900
> To: a...@listbox.com
> 
> Dear PM,
> 
> I have a clarification question.
> 
> With 1 (b), do you mean concept forming from scratch such as 
> http://nyti.ms/T5E71e
> or forming 'occurrent' internal representation of concepts/signs? 
> 
> (Non natural) signs are conventionally (socially) formed and may 
> or may not correspond to concepts formed with unsupervised 
> learning…
> 
> -- 
> Naoya ARAKAWA
> 
> 
> On 2013/04/07, at 10:07, Piaget Modeler <piagetmode...@hotmail.com> wrote:
> 
> 
> Symbolic interactionism looks interesting.
> 
> So, the beginnings of the AGI's semiosis components:  
> 
> `1. Decoder component
> 
>    (a) receives percepts, 
>    (b) forms concepts (i.e., signs), 
>    (c) matches or constructs ???? what ???? 
> 
> 
> 2. Encoder component
> 
>   (a) starts with a semantic net
>   (b) decides upon a subset of the semantic net to encode
>   (c) chooses signs related to the concepts in the subset
>   (d) forms a plan to utter the signs
>   (e) executes the plan
> 
> Is this enough.  What is the name of 1.(c) ? 
> 
> Kindly advise.
> 
> ~PM




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