Uncertainty in Expert Systems with Multiple Sources of      Information Application to Agricultural Production
{'Code': '04050100', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}
{'SignBlockName': 'Shelton White', 'PO_EMAI': None, 'PO_PHON': None}
This proposal combines strong capabilities in statistical                       modeling and simulation with the development of rule-based expert               systems that will assist in the solution of agricultural                        production problems.  General progress is expected in developing                better ways to handle and express uncertainty in the context of                 expert systems models.  Specific progress is expected in                        developing improved tools for protecting soybean crops from                     pests, an important issue in agricultural production research,                  and in extending the use of decision analytic techniques to the                 agricultural sector.  The project will employ the framework of                  Bayesian probabilistic inference and the representation of                      stochastic inferential networks through influence diagrams, which               will help to structure the problem and explore dependencies                     between key variables.  The success of the project should help to               demonstrate the feasibility of using computer-based expert                      systems as decision aids to address production decisions                        involving risk and uncertainty.
[{'FirstName': 'Gail', 'LastName': 'Wilkerson', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gail G Wilkerson', 'EmailAddress': None, 'NSF_ID': '000349083', 'StartDate': '05/01/1989', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Harvey', 'LastName': 'Gold', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Harvey J Gold', 'EmailAddress': 'GOLD@STAT.NCSU.EDU', 'NSF_ID': '000160455', 'StartDate': '05/01/1989', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Ronald', 'LastName': 'Stinner', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ronald E Stinner', 'EmailAddress': 'RonStinner@ncsu.edu', 'NSF_ID': '000186308', 'StartDate': '05/01/1989', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
{'Name': 'North Carolina State University', 'CityName': 'RALEIGH', 'ZipCode': '276950001', 'PhoneNumber': '9195152444', 'StreetAddress': '2601 WOLF VILLAGE WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NC02', 'ORG_UEI_NUM': 'U3NVH931QJJ3', 'ORG_LGL_BUS_NAME': 'NORTH CAROLINA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
[{'Code': '1321', 'Text': 'Decision, Risk & Mgmt Sci'}, {'Code': '9120', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8819490.xml'}