Integrated Cognitive and Decision Models with Applications to Aging and Numeracy

集成认知和决策模型及其在衰老和计算能力中的应用

基本信息

批准号：
10177825
负责人：
GAIL A MCKOON
金额：
$ 65.98万
依托单位：
OHIO STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-30 至 2024-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10177825
关键词：
Adult Affect Age Aging Alzheimer&apos s Disease Alzheimer&apos s disease patient Anxiety Aphasia Attention deficit hyperactivity disorder Cells Child Child Development Clinical Cognitive Cognitive Science Collaborations Cross-Sectional Studies Cues Data Decision Making Decision Modeling Development Diagnosis Diffusion Discipline Discrimination Disease Dyslexia Early Intervention Early treatment Educational Status Elderly Eye Goals Health Hypoglycemia Impaired cognition Impairment Individual Individual Differences Influentials Investigation Judgment Knowledge Laboratories Language Lead Life Linear Regressions Literature Mathematics Measures Memory Memory impairment Mental Depression Methodology Modeling Neuropsychology Neurosciences Patients Performance Population Process Progress Reports Property Publications Reaction Time Research Research Personnel Sampling Short-Term Memory Sleep Deprivation Standardization Stimulus Testing Time Translating Work achievement test behavior measurement cognitive skill cognitive system college data standards distributed memory experimental study financial decision making financial literacy health literacy human old age (65+)information model laboratory experiment mathematical ability mild cognitive impairment neuroeconomics neurophysiology normal aging outreach power analysis processing speed response skills standard measure undergraduate student

项目摘要

Project Summary/Abstract Our primary methodological/theoretical goal is to develop models that integrate models of how information is represented with models of how decisions are made. The domain of application will be numeracy: how numeracy is represented in the cognitive system and how it is used in making decisions. The specific goals for numeracy are to understand the basic processes involved in numeracy skills and to produce measures with which to understand the relationships between basic processes and higher-level skills. We will examine statistical properties of the integrated models and work with the authors of publicly available diffusion-model fitting packages to make the integrated models widely available. The decision model we will use is the well-established diffusion decision model, which provides a unified explanation of the full range of data for simple two-choice tasks of the kinds we will use, including the distributions of response times for correct and incorrect responses, how the distributions and accuracy change with manipulations of independent variables, and how they change with differences among individuals and groups of individuals. The representation models we will test assume distributed representations over numerosity and they will produce the measures of numeracy that drive decision processes. A successful representation model will be one for which the measures accurately predict, when translated through the diffusion model, response time and accuracy data. The proposed research will examine low-level skills, as measured by applying the models to simple numeracy discrimination and memory tasks. Relations will then be examined between these skills, working memory, and speed-of-processing and also between the skills and performance on standardized tests of higher-level math abilities, financial numeracy abilities, and health numeracy abilities. All of these tasks and measures will be tested with college-age adults, adults with Mild Cognitive Impairment, adults with early and moderate Alzheimer's disease, and cognitively unimpaired age-matched adults. Questions will include how numeracy abilities decline with normal aging and how they are impacted by cognitive impairment. It may be that impairments in numeracy abilities precede memory impairments and if so, lead to earlier treatments and earlier interventions in health and financial decision making. 1

项目概要/摘要我们的主要方法/理论目标是开发集成信息如何传递的模型的模型用如何做出决策的模型来表示。应用领域将是计算能力：如何计算能力体现在认知系统中以及如何使用它来做出决策。计算能力的具体目标的目的是了解计算技能的基本过程，并制定衡量方法了解基本流程和高级技能之间的关系。我们将检查统计集成模型的属性并与公开可用的扩散模型拟合的作者合作包以使集成模型广泛可用。我们将使用的决策模型是完善的扩散决策模型，它提供了统一的解释我们将使用的简单二选一任务的全部数据，包括分布正确和错误响应的响应时间，分布和准确性如何变化自变量的操纵，以及它们如何随着个体和群体之间的差异而变化个人。我们将测试的表示模型假设数量上的分布式表示，并且它们将产生驱动决策过程的计算能力。一个成功的表示模型将是当通过扩散模型进行转换时，这些措施可以准确预测响应时间和准确度数据。拟议的研究将检查低级技能，通过将模型应用于简单的计算来衡量辨别和记忆任务。然后将检查这些技能、工作记忆和处理速度以及高级数学标准化测试的技能和表现之间的关系能力、金融计算能力和健康计算能力。所有这些任务和措施都将对大学生、患有轻度认知障碍的成年人、患有早期和中度阿尔茨海默病的成年人进行了测试疾病和认知能力未受损的年龄匹配的成年人。问题将包括计算能力如何下降正常衰老以及认知障碍如何影响他们。可能是计算能力有缺陷能力先于记忆障碍，如果是这样，就会导致更早的治疗和更早的健康干预财务决策。 1

项目成果

期刊论文数量（30）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Modeling Individual Differences in the Go/No-go Task with a Diffusion Model.

DOI：
10.1037/dec0000065
发表时间：
2018-01
期刊：
Decision (Washington, D.C.)
影响因子：
0
作者：
Ratcliff R;Huang-Pollock C;McKoon G
通讯作者：
McKoon G

Individual Differences and Fitting Methods for the Two-Choice Diffusion Model of Decision Making.

DOI：
10.1037/dec0000030
发表时间：
2015-01-01
期刊：
Decision (Washington, D.C.)
影响因子：
0
作者：
Ratcliff, Roger;Childers, Russ
通讯作者：
Childers, Russ

Using the Diffusion Model to Explain Cognitive Deficits in Attention Deficit Hyperactivity Disorder.

DOI：
10.1007/s10802-016-0151-y
发表时间：
2017-01
期刊：
JOURNAL OF ABNORMAL CHILD PSYCHOLOGY
影响因子：
3.6
作者：
Huang-Pollock, Cynthia;Ratcliff, Roger;McKoon, Gail;Shapiro, Zvi;Weigard, Alex;Galloway-Long, Hilary
通讯作者：
Galloway-Long, Hilary

Diffusion Decision Model: Current Issues and History.