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<p>incrementally acquires chunks and templates by scanning a large database of positions taken from master-level games. This makes it possible to create networks of various sizes, and so to simulate the behaviour of players of different skill levels. Taken together with the presence of time and capacity parameters, this enables CHREST to make unambiguous and quantitative predictions.</p>

<p>CHREST's notability lies in the significance placed on the perception process. The procedure of perception and information processing is passive, leading to</p><p>
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