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Sparse distributed memory
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<p>Sparse distributed memory (SDM) is a mathematical model of human <a href="/facts/Long-term_memory/NvxgXP2y">long-term memory</a> introduced by <a href="/facts/Pentti_Kanerva/24XS34G0">Pentti Kanerva</a> in 1988 while he was at <a href="/facts/Ames_Research_Center/DQUsdLam">NASA Ames Research Center</a>. </p><p>This memory exhibits behaviors, both in theory and in experiment, that resemble those previously unapproached by machines – e.g., rapid recognition of faces or odors, discovery of new connections between seemingly unrelated ideas, etc. Sparse distributed memory is used for storing and retrieving large amounts ( 2 1000 {\displaystyle 2^{1000}} <a href="/facts/Bit/S972NSaD">bits</a>) of information without focusing on the accuracy but on similarity of information. There are some recent applications in robot navigation and experience-based robot manipulation. </p>