On Sat, Apr 26, 2008 at 12:52 AM, a <[EMAIL PROTECTED]> wrote:
>
>  My approach of visual reasoning involves some form of searching for similar
> images. It associates images using spreading activation techniques to
> disambiguate vision and to speed up image matching. Connections between
> nodes strengthen as they are simultaneously activated while preserving their
> context sensitivity. It is a bottom-up emergent approach that learns the
> basic visual features first so it can selectively concentrate on
> higher-level features, such as letters or words, while avoiding unneeded
> parts.  It is linked to a motivation system that concentrates on the
> important features of an image and then implicitly memorizing them.
>
>  My method constantly searches for high-level features of images
> context-sensitively. Due to the context-sensitive nature of intelligence,
> image matching can be speeded up thousands of times by just searching a
> subset of images depending on its context.
>
>  Spatial reasoning is the process of using explicit spatial manipulation
> techniques. If the nodes are simultaneously activated, it can be further
> optimized by connection strengthening without any modal-specific methods,
> similar to intuition.
>

Do you have explicit images, or are these processes run from just
pixels-as-features combined in features of higher and higher levels?
Does this spreading activation run "instantaneously"? Can this process
find spatiotemporal patterns? Is there a top-down influence?

Could you explain what context-sensitive search means in your case?
What limits what?

Is there a difference between how you handle visual perception and
other processes in your system (that account for reasoning, action,
other modalities, etc.)?

-- 
Vladimir Nesov
[EMAIL PROTECTED]

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