Heuristic Techniques for Improved Problem-Solving Strategies
{'Code': '05020400', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
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The ultimate objectives of this research are to understand                 and analyze the nature of heuristic information and to develop                  heuristic techniques for improved problem solving strategies.                   This project seeks to extend and assess the efficiency of                       constraint-solving algorithms by identifying classes of tractable               problems on one hand and improving general backtrack schemes on                 the other.  Our approach is to relate the tractability of the                   problem to its topological structure.  In addition we will extend               the constraint-network model to represent non-monotonic knowledge               and guide Truth-maintenance algorithms.  This extension will be                 applied to the domains of diagnosis and temporal reasoning.
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{'Name': 'University of California-Los Angeles', 'CityName': 'LOS ANGELES', 'ZipCode': '900244200', 'PhoneNumber': '3107940102', 'StreetAddress': '10889 WILSHIRE BLVD STE 700', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_ORG': 'CA36', 'ORG_UEI_NUM': 'RN64EPNH8JC6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, LOS ANGELES', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '6835', 'Text': 'KNOWLEDGE & DATABASE SYSTEMS'}
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