Psychological studies of symbolic processing and parallel distributed processing

符号处理和并行分布式处理的心理学研究

基本信息

  • 批准号:
    02301012
  • 负责人:
  • 金额:
    $ 8.32万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Co-operative Research (A)
  • 财政年份:
    1990
  • 资助国家:
    日本
  • 起止时间:
    1990 至 1991
  • 项目状态:
    已结题

项目摘要

The hypothesis of the project of our research was that human problem solving which tends to be regarded to be executed by symbolic processes are actually executed by parallel distributed processes in our brains. To testify the hypothesis, the project aimed to investigate the difference between the internal representations of symbolic processes and those of parallel distributed processes and to contrast concurrent information processes and successive information processes. The results of the project, composed of four groups ; the mathematical group, the perception group, the cognition group, and the behavior group, are as follows.The mathematical group constructed an auto-regression model for the information processing of motion perception, compared an artificial inference system organized with Prolog and a human inference system, and investigated a genetic algorithm, which is a fundamental model of human information processing.The perception group identified glutamic acid as a chemical transmitter between retinal bipolar cells and retinal ganglion cells.The cognition group simulated some abilities of human problem solving by a PDP model which included the intuitive understanding of the rule of free-fall objects and the formulation of a law of physics.The experiment of the behavior group was to analyze the problem solving of macaque monkeys which made GO/NO-GO responses to stimuli with relevant dimensions varied frequently and to investigate the brain units of the monkeys associated with the stimulus-response relations.
我们研究项目的假设是,人类解决问题的过程往往被认为是由符号过程执行的,实际上是由我们大脑中的并行分布式过程执行的。为了证明这一假设,该项目旨在研究符号过程的内部表示与并行分布式过程的内部表示之间的差异,并对比并发信息过程和连续信息过程。项目成果,由四个小组组成;数学组、感知组、认知组和行为组如下:数学组构建了运动感知信息处理的自回归模型,比较了用Prolog组织的人工推理系统和人类推理系统,并研究了遗传算法,该模型是人类信息处理的基本模型,感知组将谷氨酸确定为视网膜双极细胞和视网膜神经节细胞之间的化学递质,认知组通过PDP模型模拟人类解决问题的某些能力,包括对自由规则的直观理解,以及对神经元和神经元之间的相互作用。行为组实验分析了猕猴对相关维度频繁变化的GO/NO-GO反应的问题解决过程,并探讨了与刺激-反应关系相关的猕猴脑单位。

项目成果

期刊论文数量(21)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Shigeno,S.: "Assimilation and contrast in the phonetic perception of vowels." Journal of the Acoustical Society of America. 90. 103-111 (1991)
Shigeno,S.:“元音语音感知中的同化和对比。”
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
Nakatani, K.: "Neural network models in psychology." The Journal of the Institute of Electronics, Information and Communication Engineers. 73. 696-700 (1990)
Nakatani, K.:“心理学中的神经网络模型。”
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
Niki,H.,Sugita,S.,& Watanabe,M.: "Modification of the activity of primate frontal neurons during learning of a GO/NOーGO discrimination and its reversal:a progress report." Vision,Memory,and the Temporal Lobe:Proceedings of the Tokyo symposium.295-304 (199
Niki, H.、Sugita, S. 和 Watanabe, M.:“在学习 GO/NO-GO 辨别及其逆转过程中灵长类额叶神经元活动的改变:视觉、记忆和认知的进展报告。”颞叶:东京研讨会论文集.295-304(199
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
中谷 和夫: "運動視の計算論アプロ-チとその心理学的意義" 心理学評論. 34. 193-209 (1991)
Kazuo Nakatani:“运动视觉的计算方法及其心理学意义”《心理学评论》34。193-209(1991)。
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

NAKATANI kazuo其他文献

NAKATANI kazuo的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

相似海外基金

Collaborative Research: Using Machine Learning to Improve Visual Problem-Solving in Chemistry Education
协作研究:利用机器学习提高化学教育中的视觉问题解决能力
  • 批准号:
    2235790
  • 财政年份:
    2023
  • 资助金额:
    $ 8.32万
  • 项目类别:
    Standard Grant
Collaborative Research: An Extended Reality Factory Innovation for Adaptive Problem-solving and Personalized Learning in Manufacturing Engineering
协作研究:制造工程中自适应问题解决和个性化学习的扩展现实工厂创新
  • 批准号:
    2302833
  • 财政年份:
    2023
  • 资助金额:
    $ 8.32万
  • 项目类别:
    Standard Grant
SBIR Phase II: Building Mathematical Thinking and Problem-solving Skills Together Through Play
SBIR 第二阶段:通过游戏共同培养数学思维和解决问题的能力
  • 批准号:
    2200238
  • 财政年份:
    2023
  • 资助金额:
    $ 8.32万
  • 项目类别:
    Cooperative Agreement
Collaborative Research: RUI: Trust but Verify: The Use of Intuition in Engineering Problem Solving
合作研究:RUI:信任但验证:直觉在工程问题解决中的运用
  • 批准号:
    2325524
  • 财政年份:
    2023
  • 资助金额:
    $ 8.32万
  • 项目类别:
    Standard Grant
Students' Metacognitive Skills in Mathematics Problem Solving and Their Development Process in African Countries
非洲国家学生数学解题元认知能力及其发展历程
  • 批准号:
    23K12771
  • 财政年份:
    2023
  • 资助金额:
    $ 8.32万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Forming process of high school mathematics teachers' identity: Focusing on the relationship with problem solving
高中数学教师身份的形成过程:关注与问题解决的关系
  • 批准号:
    23K18926
  • 财政年份:
    2023
  • 资助金额:
    $ 8.32万
  • 项目类别:
    Grant-in-Aid for Research Activity Start-up
Research on Automated Formative Feedback of Problem-Solving Strategy Writing in Introductory Physics using Natural Language Processing
利用自然语言处理的物理导论中解题策略写作的自动形成反馈研究
  • 批准号:
    2300645
  • 财政年份:
    2023
  • 资助金额:
    $ 8.32万
  • 项目类别:
    Standard Grant
Collaborative Research: CueLearn: Enhancing Social Problem Solving through Intelligent Support
协作研究:CueLearn:通过智能支持增强社会问题解决能力
  • 批准号:
    2300827
  • 财政年份:
    2023
  • 资助金额:
    $ 8.32万
  • 项目类别:
    Continuing Grant
Collaborative Research: CueLearn: Enhancing Social Problem Solving through Intelligent Support
协作研究:CueLearn:通过智能支持增强社会问题解决能力
  • 批准号:
    2300828
  • 财政年份:
    2023
  • 资助金额:
    $ 8.32万
  • 项目类别:
    Continuing Grant
Collaborative Research: RUI: Trust but Verify: The Use of Intuition in Engineering Problem Solving
合作研究:RUI:信任但验证:直觉在工程问题解决中的运用
  • 批准号:
    2325525
  • 财政年份:
    2023
  • 资助金额:
    $ 8.32万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了