Memory Search and Sense from Shallow Hierarchies
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This paper describes an automatic process for combining patterns and features, to guide a search process and reason about it. It is based on the functionality that a human brain might have, which is a highly distributed network of simple neuronal components that can apply some level of matching and cross-referencing over retrieved patterns. The process uses memory in a more dynamic way and it can realise results using a shallow hierarchy, which is a recognised brain-like construct. The paper gives one example of the process, using computer chess as a case study.
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