Introduction to Artificial Intelligence: Methods, Models, Algorithms

advertisement
Introduction to Artificial Intelligence: Methods, Models,
Algorithms
Lecturers:
Gennady S. Osipov -professor of Department «Mathematical Methods of
Systems Analysis» ISA RAS - Faculty of Соmputer Sciences, Deputy Head of
Department; E-mail: gosipov@hse.ru
Deputy Director of Institute Systems Analysis of Russian Academy of Sciences
for research,
Full Professor, Ph.D. and Dr. Sci. in theoretical computer science,
Fellow of ECCAI – European Coordinating Committee for Artificial Intelligence
http://www.eccai.org/
President of the RAAI - Russian Association for Artificial Intelligence
http://www.raai.org/
Konstantin S. Yakovlev -Senior Lecturer Department of «Mathematical Methods
of Systems Analysis» ISA RAS - Faculty of Соmputer Sciences, E-mail: kyakovlev@hse.ru
Senior researcher of Institute Systems Analysis of Russian Academy of Sciences,
Ph.D. in theoretical computer science
Fellow RAAI – Russian Association for Artificial Intelligence http://www.raai.org/
1. Course Objective
The course will introduce the basic concepts of Artificial Intelligence: knowledge
representation models, state space search strategies, basic machine learning techniques,
AI-planning etc. Such areas of applications as natural language processing, robotics and
others will be explored.
2.The position of the course in the structure of the educational program
Course duration: approx. 2 weeks: 16 hours (tutorials + workshops)
Academic control forms are home assignments and written test.
2.1.Prerequisites of the course:





Boolean algebra
Set theory
Graph theory
Calculus
Algebra


Algorithm theory
Basic programming skills
3.Topic-Wise Curricula Plan
№
1.
2.
3.
4.
5.
Topic name
Knowledge representation (first-order logic, rulebased systems, frames, semantic networks etc.)
Machine Learning (TIDT, AQ, etc.)
State space search (brute force search, heuristic
search, A* algorithms and it’s modifications)
Automated Planning (STRIPS, SNLP, GraphPlan
etc.)
Applications of Artificial Intelligence
Total
Course
hours, total
16
Audience hours
Practical
Lectures
studies
2
2
2
2
2
2
2
1
1
9
0
7
4.Readings:
1. G.S. Osipov. Introduction to Artificial Intelligence. 2012. (In Russian)
2. Artificial Intelligence: Structures and Strategies for Complex Problem Solving (6th Edition)
by George F. Luger, 2008
3. Artificial Intelligence: A Modern Approach Third Edition (the blue book) by Russell &
Norvig, 2010.
Download