Parallel Algorithms For Knowledge Representations
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
{'SignBlockName': 'Jolita D. Middleton', 'PO_EMAI': None, 'PO_PHON': None}
This research develops computer systems for representing                knowledge, particularly by rule-based systems, and for reasoning                with that knowledge by many processors operating in parallel.                   Target machines to support these parallel reasoning systems, such               as the NCUBE hypercube, will be tested.                                              The importance of this research is that rule based systems                 are the core of many "expert system" applications in artificial                 intelligence.  These systems however are very demanding on the                  resources of a single-processor computer.  In order to improve                  their performance, the theory and practice of their implementation              on multiprocessor systems must be developed.
{'FirstName': 'James', 'LastName': 'Schmolze', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'James Schmolze', 'EmailAddress': 'schmolze@cs.tufts.edu', 'NSF_ID': '000174288', 'StartDate': '08/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Tufts University', 'CityName': 'SOMERVILLE', 'ZipCode': '021442401', 'PhoneNumber': '6176273696', 'StreetAddress': '169 HOLLAND ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'WL9FLBRVPJJ7', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF TUFTS COLLEGE', 'ORG_PRNT_UEI_NUM': 'S6ZWCYHRQQB3'}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
[{'Code': '6856', 'Text': 'ARTIFICIAL INTELL & COGNIT SCI'}, {'Code': '9120', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8800163.xml'}