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The shapes of the target
solutions (3, 4) closely resemble the shapes of recruited source knowledge
(1, 2). KBCC implements a new kind of connectionist compositionality,
composing a cross from its component rectangles while keeping the components
intact. This concatenative compositionality was thought to be beyond the
ability of neural networks.
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