Mindtwister USA. "A Little Bit of Mindtwisting Pentago History." (March 12, 2012) http://pentago.com/about-us/ If you are looking for a long-term save that does not necessarily tie you down to a single club, but will instead have you often switching clubs trying to find one that offers you the best chance at silverware, then the Pentagon Challenge might be what you are looking for. Minimax algorithm from the beginning of the game, but a very good and reasonable heuristics need to be given to different states. Figure 7: Minimax that only computes to a depth of three To win the game, be the first to place five marbles in a row -- vertically, horizontally or diagonally, spanning two or three quadrants.

Considering the pros and cons of the two algorithm, I have decided to implement the Minimax with defensive opening. The defensive opening lasts 8 The constantly changing game board will take a few games to get used to. Once you do, you'll love to explore all the perplexingly complex and deep logic that is required to conquer another seasoned player. Pentago is a two-player abstract created by Tomas Floden and was released in 2005. That year it won the Game of the Year in Sweden. The following year, it won the Game of the Year in both France and Finland and was a winner in the Mensa Mind Games. Not bad for such a small and unassuming game.The Minimax algorithm builds a tree of all possible states until one party wins. A positive weight is given to a winning state, a negative weight AI can do. For each legal move, we iterate again over all legal moves that the opponent is allowed to make. If there exists a winning move for You are to complete the function getComputerMove(player,Board), which determines what move to make when it is the computer's turn to move, and the computer's token is player. Currently, that function simply determines all possible moves for player, and chooses one at random. To do this, you should implement Minimax and use a heuristic to determine the Player's move.

There are several improvements that can be made if more time is allowed for this project. After competing with some of the AIs of my classmates, Instead, if you are starting in Asia for instance, with plans to move to Africa once you win the Asians Champions League (AFC). Load the leagues in these two continents first, leaving Europe and the Americas untouched.

care how it loses, so the same negative weight of -1 is given to all losing states (Figure 6). An obvious advantage of given 1, 0 and -1 as weight In this project, the goal is to implement an AI to play the game Pentago-Swap. The Pentago-Swap is a instance of Moku family of games. undesired states. On top of that, Monte Carlo requires a large number of simulation to obtain relatively high performance. Thus, this approach was this game is provided for your use, so that everybody's program will use the same state and rule representations. A few important points about the program representation are given below: The board is a six-by-six series of cupped indentations that hold marbles which are placed by either player on their turn. As well, the board is subdivided into four equal squares, each with a set of three-by-three spots.

Another improvement to my approach is that the Minimax could be used at the beginning with iterative deepening. This could avoid the problem ofThe 6×6 version of Pentago has been strongly solved with the help of a Cray supercomputer at NERSC. With symmetries removed, there are 3,009,081,623,421,558 possible positions. If both sides play perfectly, the first player to move will always win the game. [1] Awards [ edit ] On the other hand, sometimes playing defense for a few moves creates opportunities for you that your opponent may miss because he/she can get too busy trying to run the game. Disadvantage: it's a bit vulnerable to your opponent twisting your set-up out of shape, even inadvertently.