Artificial Intell

What is the main purpose for this course?

The course provides an introduction to the types of problems and techniques in Artificial Intelligence. Problem-Solving methods and major structures used in Artificial Intelligence programs, constraint satisfaction problems.

Study of knowledge representation techniques such as predicate logic, non-monotonic logic, and probabilistic reasoning. Application areas of AI such as game playing, expert systems, Machine learning and natural language processing.

Project: cover some course areas using a logic programming tool (Prolog language for example).

Briefly describe any plans for developing and improving the course that are being implemented :

  1. Provide an introduction to Artificial Intelligence programming by exploring Common Lisp and Prolog languages.
  2. Updating the study material of the course in order to incorporate the new research in the field.
  3. Use online resources and animations to help students to enhance knowledge about the topics that are presented in the course.

 

List of Topics

 

No. of

Weeks

Contact Hours

1.Introduction

1

3

2.Intelligent Agents

2

6

3.Problem Solving

3

9

4.LISP programming

2

6

5.Informed search methods

2

6

6.Constraint Satisfaction Problems

1

3

7.Adversarial Search

1

3

8.Logical Agents

1

3

9.First-Order Logic

2

6

10.Inference in First-Order Logic

2

6

11.Knowledge Representation

2

6

12.Learning from Observations

1

3

 

Learning Resources

  1.  List Required Textbooks :
    • Artificial Intelligence A Modern Approach, Stuart Russell   &   Peter Norvig, Prentice Hall, Published Date: Dec 1, 2009.
  2.  List Essential References Materials :
    • George F. Luger, Artificial Intelligence: structures and strategies for complex problem solving, Addison-Wesley; 6 edition, (March 9, 2011)
  3. List Recommended Textbooks and Reference Material  :
    • David Poole and Alan MackworthArtificial Intelligence: Foundations of Computational Agents, Cambridge University Press, 2010.
  4. List Electronic Materials  :
  5. Other learning material :
    • Video and presentations that available with the instructor

 Downloads

Contact Info.

Tel.: 016 404 4029
Ext. : 4029
Email: [email protected]

Room : S177

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