Massaro D W, Friedman D
Department of Psychology, University of California, Santa Cruz 95064.
Psychol Rev. 1990 Apr;97(2):225-52. doi: 10.1037/0033-295x.97.2.225.
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.
在一个原型模式识别任务的背景下，开发并分析了几种信息整合模型。核心关注点在于这些模型是否规定了最大效率（最优）的整合，以及模型在多大程度上具有心理有效性。为每个模型指定了评估、整合和决策过程。重要特征包括评估是否存在噪声、整合是否遵循贝叶斯定理，以及决策是由标准规则还是相对优度规则组成。对这些模型进行模拟，并通过相同模型对结果进行预测，以提供可识别性的度量，即模型能够相互区分的程度。这些模型还与具有2个和4个响应选项以及分级响应的任务的实证结果进行了对比。
