Building a resonance framework for word recognition using design and system principles.

Building a resonance framework for word recognition using design and system principles.
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DOI:
10.1037/0096-1523.20.6.1248
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发表时间:
1994-12
期刊:
Journal of experimental psychology. Human perception and performance
影响因子:
--
通讯作者:
Gregory O. Stone;G. C. Orden
Gregory O. Stone;G. C. Orden
中科院分区:
其他
文献类型:
--
作者:
Gregory O. Stone;G. C. Orden

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介绍了基于原则的模型开发方法的基本要素。这种方法是理解能够产生复杂行为的模型的操作所必需的。原则的使用有助于在测试模型时分配解释性信用和指责,并在模型失败时指导模型的改进。区分了两种原则:设计性原则和系统性原则。设计原则将模型行为与可观察的人类行为联系起来。系统原理将模型行为与关于模型的形式结构(体系结构公理)的假设相关联。通过建立共鸣的理论框架(S.Grossberg和G.O.Stone,1986),通过连续添加原则,说明了这些原则的使用及其之间的关系。
Basic elements of a principle-based approach to model development are presented. The approach is needed to understand the operation of models capable of complex behavior. The use of principles facilitates both assignment of explanatory credit and blame when testing models and guides refinement of models when they fail. Two types of principles are distinguished: design and system. Design principles relate model behavior to observable human behavior. System principles relate model behavior to assumptions about a model's formal structure (architectural axioms). The use of, and relationship between, such principles is illustrated by building the theoretical framework of resonance (S. Grossberg & G. O. Stone, 1986) through the successive addition of principles.