Models of integration given multiple sources of information.
Models of integration given multiple sources of information.
复制标题
给定多个信息源的集成模型。
DOI：
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发表时间：
1990
期刊：
影响因子：
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通讯作者：
Daniel Friedman
中科院分区：
文献类型：
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作者：
Dominic W. Massaro;Daniel Friedman
几种模型的信息整合开发和分析的背景下，一个典型的模式识别任务。核心问题是模型是否规定最大效率（最佳）的整合，以及模型在多大程度上是心理有效的。每个模型都指定了评估、集成和决策过程。重要的特征是评估是否是噪声，集成是否遵循贝叶斯定理，以及决策是否由标准规则或相对优度规则组成。进行模型的模拟和相同模型的结果的预测，以提供可识别性的测量或模型可以彼此区分的程度。该模型还与2和4个响应选项和分级响应任务的实证结果进行了对比。
Several models of information integration are developed and analyzed within the context of a proto-typical pattern-recognition task. The central concerns are whether the models prescribe maximally efficient (optimal) integration and to what extent the models are psychologically valid. Evaluation, integration, and decision processes are specified for each model. Important features are whether evaluation is noisy, whether integration follows Bayes's theorem, and whether decision consists of a criterion rule or a relative goodness rule. Simulations of the models and predictions of the results by the same models are carried out to provide a measure of identifiability or the extent to which the models can be distinguished from one another. The models are also contrasted against empirical results from tasks with 2 and 4 response alternatives and with graded responses.
影响因子：
4.1
作者：
NOSOFSKY, RM
通讯作者：
NOSOFSKY, RM