Putting Knowledge in its Place: A Scheme for Programming Parallel Processing Structures on the Fly
Putting Knowledge in its Place: A Scheme for Programming Parallel Processing Structures on the Fly
复制标题
将知识放在适当的位置：动态编程并行处理结构的方案
DOI：
10.1207/s15516709cog0901_6
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发表时间：
1988
期刊：
影响因子：
--
通讯作者：
James L. McClelland
中科院分区：
文献类型：
--
作者：
James L. McClelland
本文介绍了一种称为CID的连接信息分发机制。CID扩展了联结主义，提供了一种方法来在线编程简单处理元件的网络，以响应处理需求。如果没有CID，同时处理几个模式只能通过预先布线多个网络副本来实现，这些副本需要同时处理一个模式。有了CID，可编程处理结构可以装载集中存储的连接信息。OS需要为了说明该计划的一些特点，o CID版本的字识别的交互式CICtivation模型进行了描述。该模型具有单词感知所需的连接信息的单一永久表示，但它允许在单独的可编程网络中同时处理多个单词。然而，多字处理并不完美。该模型产生了人类受试者在处理词对的简短表示时所犯的一些侵入性错误，例如OS SAND LANE（SAND经常被误报为OS LAND r）r SANE）。该机制的资源需求。在节点和连接方面，发现矿石相当适中。主要是因为响应于任务需求而编程的网络比具有大量内置模式的知识的网络小得多。
This paper introduces o mechanism called CID, the Connection Information Distributor. CID extends connectionism by providing o way to program networks of simple processing elements on line, in response to processing demands. Without CID, simultaneous processing of several patterns has only been possible by prewiring multiple copies of the network needed to process one pattern at o time. With CID, programmable processing structures con be loaded with connection informotion stored centrally. OS needed. To illustrate some of the characteristics of the scheme, o CID version of the interactive CICtivation model of word recognition is described. The model has a single permanent representation of the connection information required for word perception, but it allows several words to be processed simultaneously in separate programmable networks. Multiword processing is not perfect, however. The model produces the some kinds of intrusion errors that human subjects make in processing brief presentations of word-pairs, such OS SAND LANE (SAND is often misreported OS LAND r)r SANE). The resource requirements of the mechanism. in terms of nodes and connections, ore found to be quite moderote. primarily because networks that ore programmed inresponse to task demands con be much smaller than networks that have knowledge of large numbers of patterns built in.
影响因子：
4.1
作者：
MCCLELLAND, JL;RUMELHART, DE
通讯作者：
RUMELHART, DE