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SGER: Towards a Computational Model of Biological Analogies in Innovative Engineering Design

SGER: Towards a Computational Model of Biological Analogies in Innovative Engineering Design
SGER:迈向创新工程设计中的生物类比计算模型
批准号:
0733363
负责人:
Ashok Goel
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-01 至 2009-02-28

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中文摘要
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英文摘要
This project pursues a computational model of creativity that has analogical reasoning as its basis, with a focus on biologically inspired design. The goals of this project are to (1) understand the nature and role of biological analogies in innovative engineering design, (2) develop computational models of the content, structure and processes of the cross-domain analogies in biologically-inspired engineering design, and (3) develop interactive environments for supporting engineers in making analogies to biological systems. The specific objectives of the proposed exploratory project are to (i) analyze biological analogies in engineering design in terms of current computational models of analogy, and (ii) develop a paper-and-pencil computational theory of cross-domain analogies in biologically-inspired engineering design. The project analyzes observations of design teams engaged in biologically-inspired engineering design to build a paper-and-pencil computational theory of cross-domain analogies in innovative design, which should lead to interactive tools for supporting biological analogies in engineering design. The project lays the foundation for a new computational model of innovative design based on analogies to biological systems. Broader Impacts: Biologically-inspired design has become an important and increasingly wide-spread movement in innovative design for environmentally-conscious sustainable development. The proposed study will help define our longer-term research program of developing a computational model of biologically-inspired innovation and an interactive environment for supporting biologically-inspired engineering design. This study will also provide insights into learning occurring in courses in biologically-inspired design, and suggest ways of enhancing quality of learning.
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AI Institute for Adult Learning and Online Education (ALOE)
  • 批准号:
    2247790
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $1999.04万
  • 财政年份:
    2022
  • 负责人:
    Ashok Goel
  • 依托单位:
RI: Doctoral Student Consortium at the Seventh International Conference on Computational Creativity
  • 批准号:
    1740420
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.0万
  • 财政年份:
    2017
  • 负责人:
    Ashok Goel
  • 依托单位:
BD Spokes: SPOKE: SOUTH: Collaborative: Using Big Data for Environmental Sustainability: Big Data + AI Technology = Accessible, Usable, Useful Knowledge!
  • 批准号:
    1636848
  • 项目类别:
    Standard Grant
  • 资助金额:
    $75.46万
  • 财政年份:
    2016
  • 负责人:
    Ashok Goel
  • 依托单位:
RI: Doctoral Student Consortium at the Twenty Fourth International Conference on Case-Based Reasoning
  • 批准号:
    1637547
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.0万
  • 财政年份:
    2016
  • 负责人:
    Ashok Goel
  • 依托单位:
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