Jim Bromer wrote:
Can you describe something of your approach for visual reasoning?
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.
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agi
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