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Knowledge Representation and Reasoning

Welcome to this course !!!

This course is taught in English. It is delivered in four chapters. The lectures material, tutorial sheets and lab sheets are written in English, however the explanations, discussions and student questions during the sessions are possible in three languages: Arabic, English and French.

Abstract:

The artificial intelligence solves the problem using two main approaches. Historically, the first used approach is the knowledge-base solution and the second one is the data-driven solution. In the former approach, the solution is developed upon the representation of expert knowledge for a specific application domain in a specific formalism. We mean by formalism a formal representation language.

Syllabus

Chapter 1: Introduction to knowledge representation and reasoning

Chapter 2: Non-classical logics

Chapter 3: Uncertain reasoning

Chapter 4: Theory of fuzzy sets

Enseignant: Noureddine DOUMI
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