CS6659 Artificial Intelligence | Important Questions | Question bank | Syllabus | Model and Previous Question papers | Download PDF

CS6659 Artificial Intelligence  

| Important  Questions | Question bank | Syllabus | Model and Previous Question papers | Download PDF

CS6659 Artificial Intelligence  | Important  Questions | Question bank | Syllabus | Model and Previous Question papers | Download PDF Exammain.com Important Questions is available for download in this page for CS6659 Artificial Intelligence . Students can download the Important Questions in the PDF format or in Word format. Questions Bank and Previous year question papers also be available in this page  . Important Questions provided here are the Expected questions that are possible to be appeared in the upcoming exams. you can make use of the below questions and prepare for your exams. CS6659 Artificial Intelligence  Important Questions . Download the Important Questions using the below link.

Subject Informations : 

University        :  Anna University
Department     :  B.E. COMPUTER SCIENCE AND ENGINEERING
Semester          :  06 th sem
Year                  :  03 rd year
Regulation       :  R2013
Subject Code   :  CS6659 
Subject Name  :  Artificial Intelligence

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CS6659 Artificial Intelligence | Important  Questions
Syllabus Click Here to Download
Part A Important Questions Click Here to Download >>
Part B Important Questions Click Here to Download  >>
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CS6659 ARTIFICIAL INTELLIGENCE – SYLLABUS – R- 2013 

OBJECTIVES:

The student should be made to:
 Study the concepts of Artificial Intelligence.
 Learn the methods of solving problems using Artificial Intelligence.
 Introduce the concepts of Expert Systems and machine learning.

UNIT I INTRODUCTION TO Al AND PRODUCTION SYSTEMS

Introduction to AI-Problem formulation, Problem Definition -Production systems, Control strategies,
Search strategies. Problem characteristics, Production system characteristics -Specialized production
system- Problem solving methods – Problem graphs, Matching, Indexing and Heuristic functions -Hill Climbing-Depth first and Breath first, Constraints satisfaction – Related algorithms, Measure of
performance and analysis of search algorithms.

UNIT II REPRESENTATION OF KNOWLEDGE

Game playing – Knowledge representation, Knowledge representation using Predicate logic,
Introduction to predicate calculus, Resolution, Use of predicate calculus, Knowledge representation
using other logic-Structured representation of knowledge.

UNIT III KNOWLEDGE INFERENCE

Knowledge representation -Production based system, Frame based system. Inference – Backward
chaining, Forward chaining, Rule value approach, Fuzzy reasoning – Certainty factors, Bayesian
Theory-Bayesian Network-Dempster – Shafer theory.

UNIT IV PLANNING AND MACHINE LEARNING

Basic plan generation systems – Strips -Advanced plan generation systems – K strips -Strategic
explanations -Why, Why not and how explanations. Learning- Machine learning, adaptive Learning.

UNIT V EXPERT SYSTEMS

Expert systems – Architecture of expert systems, Roles of expert systems – Knowledge Acquisition –
Meta knowledge, Heuristics. Typical expert systems – MYCIN, DART, XOON, Expert systems shells.

Also check :

CS6659 Artificial Intelligence  Notes – Click here to Download 

CS6659 Artificial Intelligence  Questions Papers – Click here to Download 

CS6659 Artificial Intelligence  2 marks with answers – Click here to Download 

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