课题基金 / 基金详情

Towards an Integrated Connectionist/Symbolic Theory of Higher Cognition (REU Supplement)

Towards an Integrated Connectionist/Symbolic Theory of Higher Cognition (REU Supplement)
走向更高认知的综合联结主义/符号理论(REU 补充)
批准号:
9209265
负责人:
Paul Smolensky
金额:
$11.7万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1992
资助国家:
美国
项目状态:
已结题
起止时间:
1992-08-01 至 1995-01-31

项目摘要

项目成果

Paul Smolensky的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
ABSTRACT This project develops a research program, the Sub-Symbolic Paradigm (SSP), which exploits connectionist computation as a bridge between numerical neural computation and symbolic mental computation, and forges an integration in which the latter is an approximate higher-level description of the former. While much of connectionist research has addressed problems and data from cognitive psychology, SSP has focused on complementary data and problems in higher cognition that are centrally located in linguistics and the foundations of cognitive science. SSP has already made significant progress, including (a) mathematical techniques for representing symbolic structures as lower-level distributed patterns of activity and for (b) performing massively parallel structure-sensitive processing on such representations; (c) the analysis of connectionist computation as maximizing Harmony, a well-formedness measure on representations; (d) contributions to theoretical linguistics in the areas of syntax/semantics and phonology that rely on using Harmony to measure the well-formedness of linguistic structures; and (e) contributions to the foundations of cognitive science deriving from the interpretation of the preceding results. The new research to be supported by the present grant will build on (d), expanding the theory of grammar as a well-formedness optimizing system, and on (e), systematically developing a typology of strategies for connectionist-grounded explanations of the striking productivity of human higher cognition. SSP is contributing to the development of a new methodology for cognitive science which is more than just the sum of those of its sister disciplines, a methodology capable of yielding results which are beyond the reach of all the other disciplines proceeding individually. By integrating linguistic, philosophical, and mathematical analysis, computer simulation, and techniques from both discrete and continuous computation, this new methodology can develop more powerful connectionist systems, innovative symbolic formalisms, and general cognitive principles that constitute real progress towards the unification of connectionist and symbolic theories of brain and mind.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Doctoral Dissertation Research: Compositional Linguistic Generalization in Human and Machine Learning
  • 批准号:
    2041221
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.28万
  • 财政年份:
    2021
  • 负责人:
    Paul Smolensky
  • 依托单位:
INSPIRE Track 1: Gradient Symbolic Computation
  • 批准号:
    1344269
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2013
  • 负责人:
    Paul Smolensky
  • 依托单位:
IGERT: Unifying the Science of Language
  • 批准号:
    0549379
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $318.28万
  • 财政年份:
    2006
  • 负责人:
    Paul Smolensky
  • 依托单位:
Statistical Learning of Linguistic Structure
  • 批准号:
    0446929
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2005
  • 负责人:
    Paul Smolensky
  • 依托单位:
国内基金
海外基金
greenwashing behavior in China:Basedon an integrated view of reconfiguration of environmental authority and decoupling logic
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    YU BYUNGJUN
  • 依托单位:
焦虑症小鼠模型整合模式(Integrated) 行为和精细行为评价体系的构建