Subject description - A4M36PAH

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A4M36PAH Planning and game playing Extent of teaching:2+2c
Guarantors:  Roles:PO,V Language of
teaching:
Teachers:  Completion:Z,ZK
Responsible Department:13136 Credits:6 Semester:L

Anotation:

This course provides an introduction to classical AI planning (linear, nonliner planning, graph-plan planning, heuristic planning, SAT-based planning) and game-tree representation and methods of adversarial search (such as minimax and alpha/beta pruning).

Course outlines:

1. planning problem representation and planning problem komplexity
2. linear planning, TOPLAN algorithm,
3. nonlineární planning, causal links thread resolution
4. Graf-oriented planning
5. planning by means of SAT
6. Introduction to game playing
7. Minimax, alfa-beta prunning
8. Advenced methods of adversarial planning
9. Hierarchical HTN planning
10. Heuristic planning
11. Contingency planning, temporal planning
12. Planning a probability
13. Planning in game playing

Exercises outline:

1. Planning problems
2. Semestral project specification: design and development of a general planner
3.-5.  Laboratories
6. Game playing algorithms
7. Semestral project specification: design and development of a game playing algorithm
8.-12.  Laboratories
13. Competition

Literature:

Nau, D., Ghallab, M., and Traverso, P. 2004 Automated Planning: Theory and Practice. Morgan Kaufmann Publishers Inc. Russell, S. J. and Norvig, P. 2003 Artificial Intelligence: a Modern Approach. 2. Pearson Education.

Requirements:

Subject is included into these academic programs:

Program Branch Role Recommended semester
MPIB Common courses V
MPKME1 Wireless Communication V
MPKME5 Systems of Communication V
MPKME4 Networks of Electronic Communication V
MPKME3 Electronics V
MPKME2 Multimedia Technology V
MPOI1 Artificial Intelligence PO 2
MPEEM1 Technological Systems V
MPEEM5 Economy and Management of Electrical Engineering V
MPEEM4 Economy and Management of Power Engineering V
MPEEM3 Electrical Power Engineering V
MPEEM2 Electrical Machines, Apparatus and Drives V
MPKYR4 Aerospace Systems V
MPKYR1 Robotics V
MPKYR3 Systems and Control V
MPKYR2 Sensors and Instrumentation V


Page updated 20.6.2019 05:53:08, semester: Z,L/2020-1, L/2018-9, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)