LTM C — An Improved Long-Term Memory for Cognitive Architectures
LTM C — An Improved Long-Term Memory for Cognitive Architectures
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LTM C——一种改进的认知架构长期记忆
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
Sven Bertel
中科院分区：
文献类型：
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作者：
Holger Schultheis;T. Barkowsky;Sven Bertel
正如纽韦尔（Newell，1990）所指出的，每一个认知架构都应该包括一个对人类长期记忆（LTM）进行建模的知识库。然而，对当前架构的批判性分析表明，这些架构似乎都没有以完全令人满意的方式实现这样的LTM组件。根据本分析确定的现有方法的问题，开发并全面实施了一个新的LTM组件。这种新的LTM能够模拟广泛的记忆效应，并解决现有方法中存在的问题。
As Newell (1990) has argued, every cognitive architecture should include a knowledge base modeling human long-term memory (LTM). A critical analysis of current architectures, however, reveals that none of these seems to implement such an LTM component in a completely satisfactory manner. Based on the problems with existing approaches identified by this analysis, a new LTM component has been developed and fully implemented. This new LTM is able to model a wide range of memory effects and to resolve the problems identified with existing approaches.