A Computational Approach to Engineering Idea Generation
{'Code': '07030000', 'Directorate': {'LongName': 'Directorate For Engineering'}, 'Division': {'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'Senior Program Assistant'}
It is proposed to test the hypothesis that physical descriptions of        new devices can be synthesised from knowledge about the physical and            functional characteristics of analogous devices.                                     The approach builds upon concepts developed in the area of machine         learning.  Research on learning to categorize objects by knowing a              physical description and inferring a functional definition has provided         the insight to use examples to learn a physical description from a              functional definition.                                                               This research will concentrate on generating solutions to defined          problems in the mechanical design domain.  Progress in this area could          make a significant contribution to understanding conceptual design.
{'FirstName': 'Warren', 'LastName': 'Seering', 'EmailAddress': 'wps@mit.edu', 'StartDate': '01/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA'}
{'Code': '1464', 'Text': 'ENGINEERING DESIGN AND INNOVAT'}
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