PowerPoint Presentation Clase modelo

1
M.C. Juan Carlos Olivares Rojas
Course Syllabus jolivares_at_uvaq.edu.mx January,
2009
2

• Introduction
• Topics
• Grading
• Recommendations
• References

3
The students will know in detailed form the
construction and working of intelligent
systems The students will programming and knows
diferent kind of languages and applications for
artificial intelligence
4
1.1 Basic Concepts 1.2 Applications 1.3 The
Intelligent Systems and Learning 1.4 Semantic
Networks 1.5 Match and Description Method 1.6
Analogy Problem 1.7 Abstraction Recognition 1.8
Knowledge Interpretation
5
2.1 Blind Methods 2.2 Heuristic Method 2.3 The
Best Path 2.4 Redundant Paths 2.5 Trees and
Search with Adversary Algorithmic Methods 2.6
Trees and Search with Adversay Heuristic Methods
6
3.1 Knowledge Representation 3.2 Preposition
Logic 3.3 Predicate Logic 3.4 Automatic
Deduction
7
4.1 Deduction Systems 4.2 Reaction Systems 4.3
Progressive and Regressive Chained 4.4 Cognitive
Modeling 4.5 Problem Solving Models
8
5.1 Introduction 5.2 Structures 5.3 Basic
Operations 5.4 Control Structure 5.5 Mathematic
Operations 5.6 Predicate Function 5.7 Relations
and Sets 5.8 Input and Outputs 5.9
Implementation 5.10 Backup and Recovery
9

• Only two partial and one Final Exams (only the
  last partial).
• 70 Partial Exam
• 30 Homeworks and Practices
• 10 Quizzes

10

• The classes begin at 19 to 21 hours at 6C
  Classroom on Tuesday and at Electronic Lab on
  Thursday
• The advisory should be by E-mail, Instant
  Messenger or by another electronics media
• E-mail jolivares_at_iuvaq.mx
• MSN juancarlosolivares_at_hotmail.com
• Skype juancarlosolivares
• Webhttp//dsc.itmorelia.edu.mx/jcolivares

11

• The homework must be delivery in Classroom or
  before class throught moodle or by CD.
• The rubric of work contains
• Cover
• Abstract
• Introducction
• Development
• Conclusions
• References

12
Nilsson, N. (2001). Artificial Intelligence. A
New Synthesis. McGraw-Hill. Russel, S. and
Norving, P. (2004). Artificial Intelligece. A New
Approach. Pearson Prentice Hall. Winston, P.
(1998). Artificial Intelligence. 3rd. Ed.,
Adisson-Wesley.
13
Knight, R. (1997). Artificial Intelligence. 2nd
Ed. McGraw-Hill. Tanimoto, S. (1998). The
Elements of Artifical Intelligence using Common
LISP . W. H. Freeman Company.
14
(No Transcript)