MOLECULAR ANALYSES OF BEHAVIOR

行为的分子分析

基本信息

批准号：
3382037
负责人：
CHARLES P SHIMP
金额：
$ 3.86万
依托单位：
UNIVERSITY OF UTAH
依托单位国家：
美国
项目类别：
财政年份：
1987
资助国家：
美国
起止时间：
1987-07-01 至 1991-06-30
项目状态：
已结题

项目摘要

The research proposed here forms a link in a long-term effect to discover the controlling mechanisms underlying adaptive, non- linguistic behavior of animals and humans. The research focuses on molecular relations between reinforcement and the local temporal structures of stimuli and of behavior, on the tentative assumption that such molecular relations are more clearly diagnostic of causal mechanisms than are the more commonly studied purely molar relations. It is proposed to develop and refine new empirical methods by means of which the molecular structure of behavior can be better studied. The experiments deal chiefly with sequential and spatial quantitative ill-defined or fuzzy concepts, i.e., concepts exemplars of which have no defining features. Experiments involve intuitive statistical inference, self-terminating sampling, and non-verbal self reports of a subject's own performance. The experiments are designed to diagnose ways to improve a computer-simulatic computational- processing model (AL) based on assumptions about encoding of stimuli, short-term forgetting, the acquisition of associative knowledge and the translation of knowledge into behavior and it is proposed to demonstrate the generality of molecular analyses by assimilating both the empirical outcomes to be produced by the proposed research and a wide array of other behavioral phenomena. Application of AL to the data from the experiments could provide a preliminary account of the cognitive mechanisms underlying intuitive statistical inferences. Application of AL to already published literature could provide an integrated, cognitive account of phenomena as diverse as the attribution of causality, timing, preference, behavior-reinforcement dynamics, the effects of multiple sources of reinforcement, short-term memory for sequential order, self-control, and dissociations between various performances and nonverbal self reports of those performances.

这里提出的研究形成了长期影响的联系发现自适应，非 - 的控制机制动物和人类的语言行为。研究重点关于加固与局部之间的分子关系刺激和行为的时间结构假设这种分子关系更清楚因果机制的诊断比更常见的研究了纯粹的摩尔关系。建议开发和通过其中的分子来完善新的经验方法行为结构可以更好地研究。实验交易主要具有顺序和空间定量不确定或模糊的概念，即，其概念的典范定义功能。实验涉及直观的统计推论，自我终止抽样和非语言自我报告主题自己的表现。实验设计为诊断方法来改善计算机模拟计算基于关于编码的假设的处理模型（AL）刺激，短期遗忘，联想的收购知识和知识转化为行为，这是提议证明分子分析的一般性吸收两个经验结果拟议的研究和各种各样的其他行为现象。将AL应用于实验的数据可以提供有关认知机制的初步描述根本的直观统计推断。 AL的应用已经出版的文献可以提供综合的认知关于因果关系归因的现象的描述，时机，偏好，行为强化动态，效果多种加固来源，短期记忆的顺序秩序，自我控制和各种之间的分离这些表演的表演和非语言自我报告。