Aural Pattern Recognition Experiments and the Subregular Hierarchy
Aural Pattern Recognition Experiments and the Subregular Hierarchy
复制标题
听觉模式识别实验和次规则层次结构
DOI：
10.1007/s10849-011-9140-2
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
G. Pullum
中科院分区：
文献类型：
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作者：
J. Rogers;G. Pullum
我们探讨了最近比较人类和非人类动物群体的听觉模式识别能力的研究的正式基础。迄今为止，这些实验主要集中在常规字符串集和上下文无关字符串集之间的边界。我们认为，针对子规则层次结构（细分规则字符串集类别）的区分能力的实验可能会为人类和其他物种的认知机制之间的区别提供更好的证据。此外，除了更熟悉的语法和自动机理论术语的表征之外，子正则层次结构的类还具有完全抽象的描述性（模型理论）表征的优点。由于描述性特征没有对实施做出任何假设，因此它们为从实验结果中得出有关潜在认知机制的结论提供了坚实的基础。我们回顾了子正则层次结构，并为这些实验的设计和解释提供了一套具体的原则。
We explore the formal foundations of recent studies comparing aural pattern recognition capabilities of populations of human and non-human animals. To date, these experiments have focused on the boundary between the Regular and Context-Free stringsets. We argue that experiments directed at distinguishing capabilities with respect to the Subregular Hierarchy, which subdivides the class of Regular stringsets, are likely to provide better evidence about the distinctions between the cognitive mechanisms of humans and those of other species. Moreover, the classes of the Subregular Hierarchy have the advantage of fully abstract descriptive (model-theoretic) characterizations in addition to characterizations in more familiar grammar- and automata-theoretic terms. Because the descriptive characterizations make no assumptions about implementation, they provide a sound basis for drawing conclusions about potential cognitive mechanisms from the experimental results. We review the Subregular Hierarchy and provide a concrete set of principles for the design and interpretation of these experiments.