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Artificial Intelligence in Computer Games (Spring 2013) |
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| Course code : | EAIT-U1 | ||
| ECTS Credits : | 7,5 | Status : | Optional |
| Placement : | 5-7 semester | Hours per week : | 4 |
| Length : | 1 semester | Teaching Language : | Danish if no English students are present |
| Principal Content : | Strategic games are games with well defined rules for the cource of the game, and a strategy for applying these rules with the purpose of winning. Examples are tic-tac-toe, checkers and chess witch are so called perfect-information games, and games with chance ex. back-gammon. Strategic games serves as models for problem solving methods in computer science. Methods that are applied in engineering-tasks such as VLSI design, robot-navigation, jobshop-planning etc. Contents: Introduction to Artificial Intelligence. Problem solving by statespace search: We will analyse and implement algorithms to find way through a maze, shortest paths between cities, planning problems etc. Design and implementation of a game: We will learn how a computer plays chess, and we will implement our own chess-program, or other game of your own choise. Game theory, algorithm analysis, datastructures. Introduction to Machine learning - how can a computer program learn from it"s experience, Logic programming and knowledge representation. |
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| Teaching method : | First part of the course will be theory and experiments with simple games and problems. The rest of the course is a team project. Here you will implement a game of you own choice. Until now students have implemented: Chess, Checkers, Reversi, Backgammon, Five-in-a-row and Halma. Finaly we have a tournament, where the programs compete. |
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| Required prequisites : | OOP2 | ||
| Responsible teacher : | Bjørn Klint Christensen
, bjchr@dtu.dk |
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