Towards an Integrated Connectionist/Symbolic Theory of Higher Cognition (REU Supplement)
Towards an Integrated Connectionist/Symbolic Theory of Higher Cognition (REU Supplement)
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
中文摘要
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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.
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批准号:2041221
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资助金额:$1.28万
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财政年份:2021
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负责人:Paul Smolensky
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依托单位:
INSPIRE Track 1: Gradient Symbolic Computation
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批准号:1344269
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财政年份:2013
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依托单位:
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Statistical Learning of Linguistic Structure
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批准号:0446929
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资助金额:$0.0万
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依托单位:
IGERT Formal Proposal: Problem-centered research training: Integrating formal and empirical methods in the cognitive science of language
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资助金额:$265.34万
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财政年份:1999
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负责人:Paul Smolensky
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依托单位:
Learning and Intelligent Systems: Optimization in Language and Language Learning
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批准号:9720412
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资助金额:$82.53万
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财政年份:1997
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依托单位:
Integration of Connectionist and Symbolic Computation for Linguistic Modeling
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批准号:9596120
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资助金额:$12.63万
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财政年份:1994
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依托单位:
Integration of Connectionist and Symbolic Computation for Linguistic Modeling
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批准号:9213894
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资助金额:$15.72万
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财政年份:1993
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负责人:Paul Smolensky
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依托单位:
Distributed Processing in Continuous Optical Media
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批准号:8617947
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项目类别:Standard Grant
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资助金额:$8.86万
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财政年份:1987
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负责人:Paul Smolensky
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依托单位:
Computer-Aided Reasoned Discourse (Computer and Information Science)
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批准号:8617383
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项目类别:Continuing Grant
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资助金额:$49.05万
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财政年份:1987
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负责人:Paul Smolensky
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依托单位:
Inference in Massively Parallel Artificial Intelligence Systems (Information Science)
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批准号:8609599
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项目类别:Standard Grant
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资助金额:$13.62万
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财政年份:1986
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负责人:Paul Smolensky
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依托单位:
国内基金
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依托单位:
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