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| We will try to learn Game Theory by studying related field called General Game Playing, which focuses on creating Artificial Intelligence able to play not only one game, but all games representable in a specific rule-based formalization. | We will try to learn Game Theory by studying related field called General Game Playing, which focuses on creating Artificial Intelligence able to play not only one game, but all games representable in a specific rule-based formalization. | ||
| - | The workshop will compose of three parts: | + | The workshop is composed of following parts: |
| - | - [[en:dydaktyka:ggp:gdl|Representing games in Game Description Language]] (1h). | + | - [[en:dydaktyka:ggp:gdl|Representing games in Game Description Language]] (1h15m). |
| - [[en:dydaktyka:ggp:game_tree_1|Classical Game Tree algorithms]] (1h) | - [[en:dydaktyka:ggp:game_tree_1|Classical Game Tree algorithms]] (1h) | ||
| - Monte Carlo strategies (1h) | - Monte Carlo strategies (1h) | ||
