Artificial Intelligence

The course cannot be taken simultaneously with:

Artificial Intelligence (A3M33UI)
Artificial Intelligence (B3M33UI)

The course is a substitute for:

Artificial Intelligence (A3M33UI)

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

The course is aimed at providing theoretically deeper knowledge in the area of Artificial Intelligence in the extent needed to study the branch of study Robotics. It is organized around several topics: pattern recognition and machine learning, theory of multi-agent systems and artificial life. The linkage between the theoretical and practical applications is rather stressed.

Requirements:

Syllabus of lectures:

1.Classification methods, Bayesian and non-Bayesian tasks

2.Adaboost, SVM classifiers

3.Graphical probabilistic and Markov models in machine learning

4.Theory of learning, problems of consistency, capacity, PAC

5.Learning of classification rules (AQ, CN2)

6.Sequential pattern recognition, Walds algorithm, extraction and synthesis of features, properties

7.Planning, representation of the planning problem, linear and non-linear planning

8.Methods of planning: TOPLAN, POPLAN, SATPLAN, GRAPHPLAN

9.Multi-agent systems: Reactive and deliberative agents, BDI architecture, reflection

10.Collective behavior of agents, distributed decision making, negotiation techniques, CNP, auction and voting techniques

11.Social knowledge, social behavior of agents, met-reasoning, coalition formation, team cooperation

12.Multi-agent planning and scheduling, industrial applications

13.Artificial life, principles, algorithms, applications

14.Applications

Syllabus of tutorials:

1.Introduction, definition of the course project

2.Bayesian and non-Bayesian tasks

3.Adaboost and SVM classifiers demos of tasks

4.Markov models and machine learning I

5.Markov models and machine learning II

6.AQ and CN2 systems, experiments I

7.AQ and CN2 systems, experiments II

8.Planning tasks

9.Planning - practical exercise

10.Aglobe Systems and its features, demo

11.Demos of multi-agent systems (Agentfly, ProPlant, MAST)

12.Agentification of systems, semantic information

13.Artificial life demos

14.Delivery of course project

Study Objective:

Study materials:

1. Wooldridge, M.: An Introduction to Multi-Agent Systems, John Wiley & Sons, 2002

2. Nilsson N.J. & Nilsson, N.J.: Artificial Intelligence: A New Synthesis. Elsevier Science, 1998

Note:

Further information:

http://cw.felk.cvut.cz/doku.php/courses/ae3m33ui/start

No time-table has been prepared for this course

The course is a part of the following study plans:

• Cybernetics and Robotics - Robotics (compulsory course of the specialization)
• Open Informatics - Artificial Intelligence (elective course)
• Open Informatics - Computer Engineering (elective course)
• Open Informatics - Computer Vision and Image Processing (elective course)
• Open Informatics - Computer Graphics and Interaction (elective course)
• Open Informatics - Software Engineering (elective course)
• Communications, Multimedia and Electronics - Wireless Communication (elective course)
• Communications, Multimedia and Electronics - Multimedia Technology (elective course)
• Communications, Multimedia and Electronics - Electronics (elective course)
• Communications, Multimedia and Electronics - Networks of Electronic Communication (elective course)
• Electrical Engineering, Power Engineering and Management - Technological Systems (elective course)
• Electrical Engineering, Power Engineering and Management - Electrical Machines, Apparatus and Drives (elective course)
• Electrical Engineering, Power Engineering and Management - Electrical Power Engineering (elective course)
• Electrical Engineering, Power Engineering and Management - Economy and Management of Power Eng. (elective course)
• Electrical Engineering, Power Engineering and Management - Economy and Management of Electrical Eng. (elective course)
• Communications, Multimedia and Electronics - Communication Systems (elective course)
• Open Informatics - New - Software Engineering (elective course)