The Cross-Platform Implementation

Transcription

1 The Cross-Platform Implementation Of Draughts Game Valery Kirkizh State University of Aerospace Instrumentation Saint-Petersburg, Russia

2 Introduction Age-old Russian game Draughts; Cross-platform implementation, Qt; Artificial intelligence algorithms; The Cross-Platform Implementation Of Game Draughts 2/22

3 The program functionality Full game process; Artificial intelligence; GUI written on Qt4; Cross-platform working; The Cross-Platform Implementation Of Game Draughts 3/22

4 Implementation details C++ (productivity), Qt4 (cross-platform possibilities); MVC pattern: Model: the Board, the Game; Several Views; Two Players; The Cross-Platform Implementation Of Game Draughts 4/22

5 Model The Board: Do key game actions; Checking moves possibility; A draw tracking; The Game: Control the game position; Watches the game situation; Contains the Board and the two Players; The Cross-Platform Implementation Of Game Draughts 5/22

6 Views Several Views: Start game View; Board View; Information View; Finish game View; Observer pattern View is observer of the Game; Views are independent; The Cross-Platform Implementation Of Game Draughts 6/22

7 Start game interface The Cross-Platform Implementation Of Game Draughts 7/22

8 Board and information The Cross-Platform Implementation Of Game Draughts 8/22

9 Players Two kinds of players: Human player; Computer player (AI); Human player is a Board View; Computer player is based on abstract factory pattern different AI algorithms; The Cross-Platform Implementation Of Game Draughts 9/22

10 Platform differences Two main stumbling blocks Graphic user interface QT, not platform-dependent stuff; #ifdef instructions in confusing places; Multi-threading possibility is not supported in mobile linuxes; works only in PC version; The Cross-Platform Implementation Of Game Draughts 10/22

11 Artificial intelligence Algorithms: NegaMax; Alpha-beta prunning; NegaScout; Exhaustive search and its improving; The Cross-Platform Implementation Of Game Draughts 11/22

12 NegaMax algorithm (1) Creates the tree of moves: The Cross-Platform Implementation Of Game Draughts 12/22

13 NegaMax algorithm (2) Chooses the best move: looking depth Plr. 1 Plr. 2 SRF The Cross-Platform Implementation Of Game Draughts 13/22

14 Alpha-beta prunning Uses branch and bound method for cutting off unnecessary nodes of the tree: 6 3 2, 2, max min min 4 The Cross-Platform Implementation Of Game Draughts 14/22

15 Time control There is time control in real games; Each player gets a certain amount of time; Players are free to decide how to spend their time; Need to develop time control strategy for players; The Cross-Platform Implementation Of Game Draughts 15/22

16 We set following tasks: choose the fastest algorithm: NegaMax; AlphaBeta; NegaScout; choose the best time control strategy: Simple; Defensive; Aggressive; The Cross-Platform Implementation Of Game Draughts 16/22

17 Test bench Special program complex; Performance comparison Experiments tool (if time is not limited) NegaScout has the best performance, NegaMax the worth; Intelligence comparison Tournaments tool (if time is limited) NegaScout has the best intelligence (it can try a larger number of moves); The Cross-Platform Implementation Of Game Draughts 17/22

18 Program complex scheme Player 1 GUI Player 2 Game Model Tournaments Experiments AI Performance Configuration The Cross-Platform Implementation Of Game Draughts 18/22

19 Testing algorithms performance Move time (seconds) Calculation depth NegaMax AlphaBeta NegaScout The Cross-Platform Implementation Of Game Draughts 19/22

20 Testing algorithms intelligence 1,0 0,9 0,8 0,7 Intelligence 0,6 0,5 0,4 0,3 0,2 0,1 0, Tournament NegaScout AlphaBeta The Cross-Platform Implementation Of Game Draughts 20/22

21 Time control strategies The simple strategy uses strictly specific amount of time on the move; The defensive strategy saves time at the end of the game; The aggressive strategy leaves at the end of the game more time; The best strategy is Defensive because the comparisons were in quick tournaments due to lack of time; The Cross-Platform Implementation Of Game Draughts 21/22

22 Conclusion Results: Fully functional cross-platform game; Testing program complex; NegaScout has the best performance and the best intelligence among considered algorithms; Source: Future directions: AI improvment, neural network addition; Time control strategies extension; The Cross-Platform Implementation Of Game Draughts 22/22