Planning and game playing

The course cannot be taken simultaneously with:

Planning and game playing (AE4M33PAH)
Planning and game playing (AE4M36PAH)
Planning and game playing (A4M36PAH)

The course is a substitute for:

Planning and game playing (A4M36PAH)

Lecturer:

Michal Pěchouček (gar.)

Tutor:

Michal Pěchouček (gar.), Jan Hrnčíř, Lukáš Chrpa, Štěpán Kopřiva, Jan Tožička, Jiří Vokřínek

Supervisor:

Department of Computer Science and Engineering

Synopsis:

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).

Requirements:

Syllabus of lectures:

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

Syllabus of tutorials:

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

Study Objective:

Study materials:

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.

Note:

Time-table for winter semester 2011/2012:

Time-table is not available yet

Time-table for summer semester 2011/2012:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon	roomKN:E-220 Tožička J. Vokřínek J. 09:15–10:45 (lecture parallel1 parallel nr.101) Karlovo nám. Laboratoř BIOroomKN:E-220 Hrnčíř J. Vokřínek J. 11:00–12:30 (lecture parallel1 parallel nr.102) Karlovo nám. Laboratoř BIOroomT2:C3-54 Pěchouček M. 16:15–17:45 (lecture parallel1) Dejvice Poslucharna
Tue
Fri
Thu
Fri

The course is a part of the following study plans: