On the use of graded propositions in uncertain non-mamotonic reasoning : With an application to plant disease forecast / Nourhan Ehab Abdelhamid Azab ; Supervised Haythem Ismail

By:

Nourhan Ehab Abdelhamid Azab

Contributor(s):

Haythem Ismail []

Material type: Text

TextLanguage: English Publication details: Cairo : Nourhan Ehab Abdelhamid Azab , 2016Description: 116 Leaves : chart , facmiles ; 30cmSubject(s):

Dissertation note: Thesis (M.Sc.) - Garman University - Faculty of Postgraduate Studies and Scientific Research - Department of Computer Science and Engineering Summary: Most of the reasoning we perform in our everyday lives typically involves uncertain, possibly contradicting, konwledge. Accordingly, any intelligent system that tries to emulate human reasoning must be able to draw conclusions from ucertian konwledge and uncertain input and resolve contradictions when ther arise. In this thesis, a weighted non-mamotonic logic we refer to as LogAG for reasoning with uncertainty is presented

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Item type	Current library	Home library	Call number	Status	Date due	Barcode
Thesis	قاعة الثقاقات الاجنبية - الدور الثالث	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.34.M.Sc.2016.No.O (Browse shelf(Opens below))	Not for loan		01010110072388000

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Thesis (M.Sc.) - Garman University - Faculty of Postgraduate Studies and Scientific Research - Department of Computer Science and Engineering

Most of the reasoning we perform in our everyday lives typically involves uncertain, possibly contradicting, konwledge. Accordingly, any intelligent system that tries to emulate human reasoning must be able to draw conclusions from ucertian konwledge and uncertain input and resolve contradictions when ther arise. In this thesis, a weighted non-mamotonic logic we refer to as LogAG for reasoning with uncertainty is presented

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