Modelling Imprecision with Support Logic Programming        (Computer and Information Science)
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
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The thrust of this research is to investigate how statements            containing imprecise quantifiers can be represented in a form                   suitable for computation.  The treatment of these quantifiers is                done in the framework of support logic programming which can be                 viewed as a generalization of both probability and fuzzy set                    techniques.  Also addressed in this research are the need to                    incorporate (imprecise) quantifiers in the support logic                        programming, the problems that arise when such an attempt is                    made, and the methods which could lead to possible solutions.                           The goal of this project is twofold:  on a theoretical level            the PIs seek to develop a systematic way of dealing with                        (imprecise) quantifiers and possibly give an axiomatic treatment                of this subject.  At the application level the PIs intend to                    actually develop the software necessary to augment the existing                 support logic programming system by incorporating a quantifier                  handling module.
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[{'Code': '684000', 'Text': 'ROBOTICS'}, {'Code': '912000', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
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