On 9/4/08, Ben Goertzel <[EMAIL PROTECTED]> wrote:
>
>
>
>> However, could you guys be more specific regarding the statistical
>> differences of different types of data? What kind of differences are you
>> talking about specifically (mathematically)? And what about the differences
>> at the various levels of the dual-hierarchy? Has any of your work or
>> research suggested this hypothesis, if so which?
>>
>
>
> Sorry I've been fuzzy on this ... I'm engaging in this email conversation
> in odd moments while at a conference (Virtual Worlds 2008, in Los
> Angeles...)
>
> Specifically I think that patterns interrelating the I/O stream of system S
> with the relation between the system S's embodiment and its environment, are
> important.  It is these patterns that let S build a self-model of its
> physical embodiment, which then leads S to a more abstract self-model (aka
> Metzinger's "phenomenal self")
>
 So in short you are saying that the main difference between I/O data by
a motor embodyed system (such as robot or human) and a laptop is the ability
to interact with the data: make changes in its environment to systematically
change the input?

>  Considering patterns in the above category, it seems critical to have a
> rich variety of patterns at varying levels of complexity... so that the
> patterns at complexity level L are largely approximable as compositions of
> patterns at complexity less than L.  This way a mind can incrementally build
> up its self-model via recognizing slightly complex self-related patterns,
> then acting based on these patterns, then recognizing somewhat more complex
> self-related patterns involving its recent actions, and so forth.
>

Definitely.

  It seems that a human body's sensors and actuators are suited to create
> and recognize patterns of the above sort whereas the sensors and actuators
> of a
>
> laptop w/o network cables or odd peripherals are not...
>

Agree.



-------------------------------------------
agi
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