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- La memoria distribuida con baja densidad es un modelo matemático de la memoria humana a largo plazo introducido por en 1988. Se utiliza para almacenar y recuperar grandes cantidades de información, sin centrarse en la exactitud de la información. Se utiliza patrones para servir como direcciones de memoria, donde se recupera la información basada en las similitudes entre las direcciones. Las direcciones de memoria están todos en una lista, incluso si no están relacionados, y se recuperan basado en contenido similar. (es)
- Sparse distributed memory (SDM) is a mathematical model of human long-term memory introduced by Pentti Kanerva in 1988 while he was at NASA Ames Research Center. It is a generalized random-access memory (RAM) for long (e.g., 1,000 bit) binary words. These words serve as both addresses to and data for the memory. The main attribute of the memory is sensitivity to similarity, meaning that a word can be read back not only by giving the original write address but also by giving one close to it, as measured by the number of mismatched bits (i.e., the Hamming distance between memory addresses). SDM implements transformation from logical space to physical space using distributed data representation and storage, similarly to encoding processes in human memory. A value corresponding to a logical address is stored into many physical addresses. This way of storing is robust and not deterministic. A memory cell is not addressed directly. If input data (logical addresses) are partially damaged at all, we can still get correct output data. The theory of the memory is mathematically complete and has been verified by computer simulation. It arose from the observation that the distances between points of a high-dimensional space resemble the proximity relations between concepts in human memory. The theory is also practical in that memories based on it can be implemented with conventional random-access memory elements. (en)
- 稀疏分布式存储器（Sparse Distributed Memory）1988年由彭蒂·卡内尔瓦发明的用来模拟人类长期记忆的数学模型。该模型被用来存储和索引巨大量(bits)的信息（不关注信息的准确性），它使用模式来作为，内容是通过地址的相似性来进行检索的。存储器地址全部在一个列表中，并且根据内容的相似性来进行检索。 (zh)
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- La memoria distribuida con baja densidad es un modelo matemático de la memoria humana a largo plazo introducido por en 1988. Se utiliza para almacenar y recuperar grandes cantidades de información, sin centrarse en la exactitud de la información. Se utiliza patrones para servir como direcciones de memoria, donde se recupera la información basada en las similitudes entre las direcciones. Las direcciones de memoria están todos en una lista, incluso si no están relacionados, y se recuperan basado en contenido similar. (es)
- 稀疏分布式存储器（Sparse Distributed Memory）1988年由彭蒂·卡内尔瓦发明的用来模拟人类长期记忆的数学模型。该模型被用来存储和索引巨大量(bits)的信息（不关注信息的准确性），它使用模式来作为，内容是通过地址的相似性来进行检索的。存储器地址全部在一个列表中，并且根据内容的相似性来进行检索。 (zh)
- Sparse distributed memory (SDM) is a mathematical model of human long-term memory introduced by Pentti Kanerva in 1988 while he was at NASA Ames Research Center. It is a generalized random-access memory (RAM) for long (e.g., 1,000 bit) binary words. These words serve as both addresses to and data for the memory. The main attribute of the memory is sensitivity to similarity, meaning that a word can be read back not only by giving the original write address but also by giving one close to it, as measured by the number of mismatched bits (i.e., the Hamming distance between memory addresses). (en)
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- Memoria distribuida con baja densidad (es)
- Sparse distributed memory (en)
- 稀疏分布式存储器 (zh)
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